The Sofi Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Sofi Business Intelligence Interview Guide

Getting ready for an Business Intelligence interview at Sofi? The Sofi Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Sofi Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Sofi.</li>
<li>Practice real Sofi Business Intelligence interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Sofi Business Intelligence interview.


Getting ready for an Business Intelligence interview at Sofi? The Sofi Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Sofi Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Sofi.
- Practice real Sofi Business Intelligence interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Sofi Business Intelligence interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Sofi Business Intelligence Interview Process

We’re given a table of bank transactions with three columns, <code>user_id</code>, a deposit or withdrawal value (determined if the value is positive or negative), and <code>created_at</code> time for each transaction.

Write a query to get the total three-day rolling average for deposits by day.

Note: Please use the format <code>&#39;%Y-%m-%d&#39;</code> for the date in the outout

Example:

Input:

<code>bank_transactions</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>transaction_value</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>dt</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>rolling_three_day</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Rolling Bank Transactions

Suppose your company needs to cut costs due to an economic downturn. During a coffee break, you hear a rumor that a lot of money goes to employees who don’t do their work, and you decide to find out if the rumor is true.

Given two tables: <code>employees</code> and <code>projects</code>, find the sum of the salaries of all the employees who didn’t complete any of their projects.

Clarification:

We will consider a project unfinished if it has no end date (its <code>End_dt</code> is <code>NULL</code>).

Given this, we’ll say an employee didn’t finish any of their projects when:

<ul>
<li>They were assigned at least one project.</li>
<li>None of their projects have an <code>End_dt</code>.</li>
</ul>

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>id</th>
<th>salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<code>projects</code> table

<table>
<thead>
<tr>
<th>employee_id</th>
<th>project_id</th>
<th>Start_dt</th>
<th>End_dt</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>INTEGER</td>
<td>DATETIME</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>total_slack_salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Find the total salary of slacking employees.

Slacking Employees Salaries

You’ve been asked to analyze the player’s behaviors at a gaming company.

Write a query to get the number of players who played between 5 and 10 games (5 and 10 excluded), and the number of players who played 10 games or more.

Example:

Input:

<code>players</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>games_played</td>
<td>INTEGER</td>
</tr>

<tr>
<td>registered_at</td>
<td>TIMESTAMP</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>players_more_than_5_to_10_games</td>
<td>INTEGER</td>
</tr>

<tr>
<td>players_10_plus_games</td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Obtain count of players based on games played.

Player Analysis

Sofi Business Intelligence Interview Questions

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: The Risk Data Science team is looking for a Sr Staff Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk areas at SoFi. The Sr Staff Data Scientist will work closely with Credit Risk, Product, Engineering teams to design solutions for loss mitigation and loss forecasting. These tasks involve researching and applying state of the art machine learning modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business' profitability. By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team. What you'll do: The Senior Staff Data Scientist will help SoFi develop better data driven model solutions by: <ul><li>Proactively identify opportunities and collaborate cross functionally to develop, implement, and continuously improve machine learning models and strategies that support various credit and operational procedures for loss mitigation and loss forecasting</li><li>Proactively identify opportunities to apply AI and advanced machine learning approaches to solve complex business problems </li><li>Evaluate alternative data sources and external vendor solutions by defining and driving proof of concept projects to demonstrate the solutions' business values</li><li>Lead/mentor junior data scientists to develop and deploy complex modeling solutions from initial concepts to final deliverables</li><li>Explore and leverage in-house, external, and other open-source machine learning software/algorithms</li><li>Contribute in enhancing SoFi's risk model development code base by developing customized Python scripts or packages</li><li>Collaborate with Model Risk Management team and Fair Lending team to demonstrate models are developed with high level rigor that satisfy Model Risk Management requirements, Fair Lending requirements, and other regulatory requirements </li><li>Spearhead model deployment by collaborating with cross functional teams including Credit, Product, Engineering, and Business Unit </li><li>Present model performance and insights to Credit, Risk, and Business Unit leaders</li><li>Investigating external data to identify trends in the market and industry</li></ul> What you'll need: <ul><li>8+ years of work experience in the related areas especially loss mitigation and loss forecasting with a Master's or PhD degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a quantitative field.</li><li>Excellent knowledge and experience of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies</li><li>Strong knowledge of AI and AI safety</li><li>2+ years of experience in leading and mentoring junior data scientists</li><li>Strong programming skills in Python </li><li>Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc. </li><li>Strong presentation skills: able to use data to tell a clear and compelling story; comfortable with public speaking across various forums, including regulatory examinations, and able to effectively and logically communicate when information is being challenged in an open forum.</li><li>Ability and confidence to exercise influence over a wide range of individuals at different levels of technical and business leadership.</li><li>Someone who is highly motivated and drives change, is eager to learn and able to work collaboratively in a complex and fluid environment</li></ul> Nice to have: <ul><li>Experience in communicating with OCC, Fed, and CFPB</li></ul> Why you'll love working here: Please do not add additional company information or copy into the job description in Greenhouse. This info will automatically post there. <ul><li>Competitive salary packages and bonuses</li><li>Comprehensive medical, dental, vision and life insurance benefits</li><li>Generous vacation and holidays</li><li>Paid parental leave for eligible employees</li><li>401(k) and education on retirement planning</li><li>Tuition reimbursement on approved programs</li><li>Monthly contribution up to $200 to help you pay off your student loans</li><li>Great health & well-being benefits including: telehealth parental support, subsidized gym program</li></ul> *These benefits are only applicable to full time employees SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Shape a brighter financial future with us.Together with our members, we're changing the way people think about and interact with personal finance.We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.The roleWe are looking for a Credit Risk Manager / Staff Data Scientist to join our Risk Analytics and Verification Strategy within SoFi's 1LOD Credit team. This team member will work in the team that is responsible for Risk Analytics and Verification Strategy across various SoFi lending products, including Personal Loans, Student Loan Refinances, and Private Student Loans. The Credit Risk Manager will contribute to the performance analysis of SoFi lending products and provide insights into the drivers for losses and recommendations for strategy enhancement opportunities. Additionally, she or he will be responsible for independently developing and implementing income and employment verification strategies to balance a smooth user experience with effective loss prevention. She / He will also collaborate with the Business Unit, Finance, Accounting, Credit, and Independent Risk Management groups. This position requires knowledge of data analytics and modeling using Python and machine learning / analytical packages and strong problem-solving and communication skills. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using statistical analysis tools to get to the truth behind the data and inform decisions.By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better.What you'll do :<ul><li>Draw strategic insights from data using statistical analysis tools to inform decisions and support SoFi's overarching strategic goals relative to loss prevention and profit optimization. Bring new ways of thinking, data sources, technologies, and capabilities to SoFi.</li><li>Develop income and employment verification strategies to enhance the verification funnel customer experience and increase conversion rates while maintaining a balanced approach to risk, business revenue, and customer experience.</li><li>Design and execute A / B testing initiatives to continuously identify opportunities to improve customer experience while effectively managing credit and fraud risk</li><li>Explore external credit data to identify trends in the market and industry.</li><li>Collaborate with business partners such as Business Units, Operations, Marketing, Finance, Legal, and Compliance to deliver successful business results. Partner closely with implementation teams to deploy new strategies accurately.</li><li>Be inspired by dynamic leaders and our rapidly growing business. We are recruiting the best, brightest, and most passionate quantitative team members.</li></ul>What you'll need :<ul><li>7+ years of experience in credit risk management roles, with at least 3 years of experience specializing in fraud and verification strategies within the consumer lending industry.</li><li>Proven advanced analytical and technical skills in conducting sophisticated data analysis using customer performance data, bureau attributes, and other 3rd party variables to solve business problems</li><li>Direct experience in the credit strategy life cycle, including ideation, strategy and decision tree development, P&L, presentation, implementation validation, and post-implementation monitoring</li><li>Proficient in Python, SQL & Tableau</li><li>Strong communication and presentation skills. Demonstrated ability to synthesize and communicate analysis to business partners and senior management</li><li>High motivation to drive results, eager to learn, and able to work collaboratively in a fluid environment</li></ul>Nice to have :<ul><li>Experience in credit loss forecasting</li></ul>Compensation and BenefitsThe base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and / or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants : Notice of Employee RightsSoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email [emailprotected] .Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal EmployeesIf you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. #J-18808-Ljbffr

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We're looking for a crypto-native, strategic, and member-focused Principal Product Manager to lead the next chapter of SoFi's crypto journey. SoFi is building out a new team to develop crypto products and services for our 11M+ members. Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond. With a growing member base of over 11 million, SoFi is forming a dedicated team to reimagine and expand our presence in the crypto space - building secure, intuitive, and full-featured products across investing, payments, transfers, custody, and more. This is a rare opportunity to help define how SoFi re-enters and scales its crypto offering, blending speed and innovation with the trust, compliance, and accessibility that define SoFi. You'll lead the vision for a product area and launch member-facing experiences that make digital assets a meaningful part of everyday finance. What you'll do: <ul><li>Own the end-to-end product lifecycle for a product area of SoFi's crypto offering, driving it from 0 to 1 by defining the vision, validating the opportunity, and leading execution through launch.</li><li>Lead cross-functional collaboration to uncover member needs, shape product strategy, and deliver intuitive, compliant, and scalable crypto experiences.</li><li>Conduct market and competitive analysis to stay ahead of crypto trends, benchmark against key players, and uncover whitespace where SoFi can differentiate and lead.</li><li>Define and measure product success by setting clear goals, owning product instrumentation, and using data-driven experimentation to iterate, improve, and scale impact.</li><li>Manage go-to-market execution for new launches, working with marketing and member success teams to drive adoption, education, and growth across SoFi's member base.</li><li>Be the go-to expert on crypto at SoFi, keeping the team informed and grounded in the latest blockchain trends, risks, and opportunities.</li></ul> What you'll need: <ul><li>7+ years of product management experience, with at least 4+ years focused specifically on crypto or blockchain-based products.</li><li>Strong grasp of financial markets, including the mechanics behind crypto trading, custody models, and blockchain infrastructure.</li><li>Comfortable to operate in high ambiguity - you can navigate shifting priorities and undefined spaces with clarity and confidence.</li><li>Bachelor's degree or higher in a relevant field.</li><li>A proactive, results-oriented approach to your work.</li><li>Ability to thrive in a fast-paced, dynamic but regulated environment.</li><li>Demonstrated ability to grasp complex user scenarios, technical concepts, and business drivers to make well-informed decisions.</li><li>Keen attention to detail and proficiency in distilling complex issues.</li><li>Exceptional written and verbal communication skills.</li><li>Ability to collaborate with and manage cross-functional groups of stakeholders.</li></ul> Nice to have: <ul><li>Hands-on usage of crypto products - from trading and transfers to interacting with dApps or DAOs.</li><li>Deep interest in and understanding of Web3, decentralized finance (DeFi), and blockchain ecosystems - you stay curious and engaged with where the space is heading.</li><li>Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)</li></ul> Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we're changing the way people think about and interact with personal finance.

We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way.  Join us to invest in yourself, your career, and the financial world.

We are seeking a Senior Principal Engineer to join our team. SoFi is building out a new team to develop crypto products and services for our members. Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.

On our team, you will be in the middle of it all - implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you'll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members' financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key responsibilities
Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
Shape the technical architecture across SoFi's crypto stack - wallets, custody, trading, and beyond.
Drive new ideas and technical strategies that push our crypto offerings forward.
Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
Collaborate across teams to deliver reusable crypto services and integrate with SoFi's broader platform.
Mentor engineers and contribute to a culture of technical growth and curiosity.
Lead discussions, reviews, and decisions across teams and with senior technical leadership.
Make smart, pragmatic decisions that balance speed and quality.
Stay curious - constantly learning new tools, protocols, and patterns in the evolving crypto space.
Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.
What you'll need:     10+ years programming experience, with significant experience in modern day languages and familiarity with AI tools
Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases and mobile/web applications
Deep understanding of code release, deployment orchestration / rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment
Experience with public cloud infrastructure
Excellent verbal and written communication skills
Understanding of blockchain fundamentals and distributed ledger technologies
Familiarity with digital assets across major chains (Bitcoin, Etherium, etc.)
Hands-on experience with smart contracts
Familiarity with custody, settlement, and clearing of crypto transactions
Experience with security and best practices for wallet management
Exposure to crypto trading platforms, market data, and DeFi protocols
Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)
Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions
Prior work in or collaboration with crypto-native companies or fintechs
Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi  page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Senior Staff Marketing Data Scientist, Home Loans  Marketing
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way.  Join us to invest in yourself, your career, and the financial world.
The role  The Marketing Data Science team is looking to add a Senior Staff Data Scientist who will help shape Home Loans/Home Equity targeting decisions and strategy. The Senior Staff Data Scientist will work closely with Marketing Managers, Business Units, Product & Finance partners to build and grow SoFi Home Loans (HL) and Home Equity Loans (HE, including HELOAN & HELOC) products into a top choice for consumers to “Get Your Money Right”.
You will be a subject matter expert on Pre-screening/Pre-approval acquisition strategy; credit bureau data; consumer profile and behavior; revenue economics; optimizing onboarding experience; and internal customer performance and marketing datasets. You will also contribute to building audience segmentation, models, and solutions spanning acquisition, attribution, forecasting, and budget allocation across marketing channels.
What you’ll do:   Develop holistic HL & HE marketing and offer strategies (including pre-screen/pre-approved and ITA) across multiple channels (DM, Email, Affiliate, Trigger, etc.), in partnership with cross-functional teams.
Create an end-to-end offer strategy framework to experiment and optimize offer construct, product preference, and audience selection across credit card products.
Leverage bureau data and other third-party non-FCRA data to improve marketing strategies and conversion rates.
Translate business goals into actionable tactics and campaigns informed by data to deliver short-term results and build a foundation for long-term growth.
Establish and maintain a framework for measuring the impact of targeting, segmentation, and offer strategies on business outcomes such as acquisitions, consumer profile, post-acquisition performance, and revenue economics.
Work effectively with ambiguity and demonstrate strong problem-solving skills when assessing offer performance.
Collaborate with stakeholders across Marketing, Business Units, Risk, Finance, Product, and Engineering to identify opportunities, measure KPIs, craft compelling stories, and make data-driven recommendations.
Support partners with ad hoc analysis requests during normal business operations.
Synthesize data into clear presentations to influence senior management decisions.
Own comprehensive reporting of member engagement KPIs, and develop dashboards to track and communicate performance.
What you’ll need:   Bachelor’s degree (Master’s preferred) in Computer Science, Math, Physics, Engineering, or a quantitative field.
12+ years of relevant experience in HL/HE growth or marketing, with proven success in developing and analyzing marketing campaigns and strategies.
Industry experience in Home Equity loans or Mortgage is essential; experience in Marketing Analytics is highly desirable.
Curiosity and aptitude for acquiring new technical skills.
Ability to initiate and complete projects with minimal guidance.
High emotional intelligence, influencing outcomes and communicating technical concepts to non-technical audiences.
Strong programming skills in SQL, Python, and proficiency in Tableau.
Experience with Airflow, Snowflake, experimentation, and hypothesis testing is a plus.
Knowledge of statistical modeling or machine learning is preferred but not required.
Ability to thrive in a dynamic, cross-functional environment with attention to detail.
Strong relationship-building and collaboration skills.
Compensation and Benefits  The base pay range for this role is listed below. Final offer depends on experience, skills, and location.
Visit our  Benefits at SoFi  page for comprehensive details.
Pay range: $172,800.00 - $297,000.00
Payment frequency: Annual
This role is eligible for bonuses, long-term incentives, and benefits. More details available on our benefits page.
Pay range: $172,800.00 - $297,000.00; Payment frequency: Annual. This role may include bonuses, incentives, and benefits. Further information is available via the provided links.
SoFi is an equal opportunity employer and considers all qualified applicants without regard to protected characteristics. We also consider qualified applicants with arrest and conviction records, in accordance with the San Francisco Fair Chance Ordinance. We offer reasonable accommodations for candidates with disabilities. Due to insurance restrictions, remote work from Hawaii or Alaska is not available at this time.

#J-18808-Ljbffr

Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way.  Join us to invest in yourself, your career, and the financial world.
We're looking for a technical and skilled Staff Data Scientist to play a lead role in the Member Data Scientist team focusing on Complaints Analytics. In this role, you will be responsible for driving insights from customer complaints, you will analyze structured/unstructured complaints data to uncover trends, identify root causes, unlock insights, and provide actionable recommendations to improve customer experience and operational efficiency. The Member Organization is the connective tissue at SoFi, we are dedicated to understanding our members and their behaviors to help them achieve financial independence and reach their goals.
As a Staff Data Scientist, you will serve as a data leader, balancing urgent requests, and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will help the team build reliable, efficient, and scalable data foundations. You will create a culture of strong technical ownership, documenting your approach and ideas to socialize, resulting in strategies that have a wide impact within the organization. You will perform analytical deep-dives to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps.
In this role, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills.
Additionally, you are expected to work cross functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them.
Responsibilities:
Identify high impact business opportunities to help members achieve their financial goals
Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation.
Develop and apply machine learning models to solve business problems
Evaluate and interpret the results of data analysis
Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders.
Design and implement data collection. Build data pipelines to deploy production level datasets.
Collaborate with cross-functional teams and business leader to understand needs and offer data-driven solutions
Participate in internal team Knowledge sharing session and willingness to mentor junior Data Scientists in the team
Stay up-to-date on the latest data science techniques and technologies
Qualifications:
Masters’ or above in quantitative areas: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
7+ years of relevant experience leveraging data-driven analysis to influence key decisions, preferably in a tech company
Proven track record of being able to work independently, and proactively engaging with business stakeholders with minimal direction and drive measurable business impact.
Advanced skill set in crafting clean, efficient, and scalable code that adheres to industry best practices, including utilization of version control systems like Git.
Strong understanding of data mining, machine learning, and statistical modeling.
Conduct A/B testing and other experiments to validate the effectiveness of data models
Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.
Identify quasi-experimental opportunities, conduct relevant analyses, communicate results effectively, and collaborate with stakeholders to turn findings into actions
Be proficient with SQL, Python (or any other coding language), and visualization tools
Experience with using DBT to set up ELT/data pipelines, automate jobs via Airflow
Ability to provide data insights for 0-1 products, comfortable with driving the direction of the roadmap for a data strategy.
Excellent communication and presentation skills, able to create dashboards to deliver insights
Ability to cross collaborate, work in an ambiguous environment with strong problem-solving skills, and mentor junior data scientists.
Compensation and Benefits  The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.  To view all of our comprehensiveand competitivebenefits, visit our  Benefits at SoFi  page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.  New York applicants: Notice of Employee Rights  SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email  accommodations@sofi.com.  Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.  Internal Employees  If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
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Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we're changing the way people think about and interact with personal finance.

We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way.  Join us to invest in yourself, your career, and the financial world.

The role

We're looking for a crypto-native, strategic, and member-focused Principal Product Manager to lead the next chapter of SoFi's crypto journey. SoFi is building out a new team to develop crypto products and services for our 11M+ members. Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond. With a growing member base of over 11 million, SoFi is forming a dedicated team to reimagine and expand our presence in the crypto space - building secure, intuitive, and full-featured products across investing, payments, transfers, custody, and more.

This is a rare opportunity to help define how SoFi re-enters and scales its crypto offering, blending speed and innovation with the trust, compliance, and accessibility that define SoFi. You'll lead the vision for a product area and launch member-facing experiences that make digital assets a meaningful part of everyday finance.

What you'll do:
Own the end-to-end product lifecycle for a product area of SoFi's crypto offering, driving it from 0 to 1 by defining the vision, validating the opportunity, and leading execution through launch.
Lead cross-functional collaboration to uncover member needs, shape product strategy, and deliver intuitive, compliant, and scalable crypto experiences.
Conduct market and competitive analysis to stay ahead of crypto trends, benchmark against key players, and uncover whitespace where SoFi can differentiate and lead.
Define and measure product success by setting clear goals, owning product instrumentation, and using data-driven experimentation to iterate, improve, and scale impact.
Manage go-to-market execution for new launches, working with marketing and member success teams to drive adoption, education, and growth across SoFi's member base.
Be the go-to expert on crypto at SoFi, keeping the team informed and grounded in the latest blockchain trends, risks, and opportunities.
What you'll need:     7+ years of product management experience, with at least 4+ years focused specifically on crypto or blockchain-based products.
Strong grasp of financial markets, including the mechanics behind crypto trading, custody models, and blockchain infrastructure.
Comfortable to operate in high ambiguity - you can navigate shifting priorities and undefined spaces with clarity and confidence.
Bachelor's degree or higher in a relevant field.
A proactive, results-oriented approach to your work.
Ability to thrive in a fast-paced, dynamic but regulated environment.
Demonstrated ability to grasp complex user scenarios, technical concepts, and business drivers to make well-informed decisions.
Keen attention to detail and proficiency in distilling complex issues.
Exceptional written and verbal communication skills.
Ability to collaborate with and manage cross-functional groups of stakeholders.
Nice to have:     Hands-on usage of crypto products - from trading and transfers to interacting with dApps or DAOs.
Deep interest in and understanding of Web3, decentralized finance (DeFi), and blockchain ecosystems - you stay curious and engaged with where the space is heading.
Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)

Compensation and Benefits

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.

To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi  page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal Employees

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

<h3>Staff Software Engineer, Digital Identity</h3>Shape a brighter financial future with us.Together with our members, were changing the way people think about and interact with personal finance.Were a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and were at the forefront. Were proud to come to work every day knowing that what we do has a direct impact on peoples lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.<h3>The Role:</h3>Do you dream of building the intelligent identity backbone of a modern financial platform? Are you passionate about creating systems that truly understand who customers are and deliver personalized experiences at scale? If so, we want you on our team!We are seeking a passionate and experienced Staff Software Engineer to join our Digital Identity team. As a key member, you'll help architect and build the systems that answer two fundamental questions for every customer interaction: "Who is this person?" and "What are they entitled to?" You'll work on building our true person identification systems, expanding our customer data model to support complex relationships, and developing intelligent personalization capabilities that power trusted financial experiences across SoFi's ecosystem. The ideal candidate is forward-thinking and hands-on, demonstrates exceptional ownership, is intellectually curious, dives below the surface to identify root causes, and is an outstanding mentor and leader.<h3>The Team You Will Join</h3>The Digital Identity group was formed last year to be the single threaded owner of all customer identity data. We focus on collecting, protecting, and distributing the critical data that enables SoFi to recognize and support customers as they move through digital product experiences. We work with some of our customer's most sensitive data, and we take privacy and security very seriously, moving towards a zero-trust architecture.<h3>What Youll Do:</h3><ul><li>Architect & Build: Drive and contribute to the design and implementation of scalable, secure and efficient entitlement, permission and authorization management systems.</li><li>Own your systems: Operate with a high degree of independence and autonomy to solve ambiguous problems, as well as take ownership of your work, from design to deployment, and be a champion for operational excellence.</li><li>Collaborate Effectively: Partner with project leads, product managers as well as other software developers to translate business requirements into technical solutions.</li><li>Mentor & Lead: Participate in shaping the long-term architecture and vision for the team. Support the professional development of other team members.</li><li>Wear Multiple Hats: Participate in the entire product lifecycle, implement new functionality, architect new systems, squash bugs, maintain the health and documentation of the code; and continuously grow as an engineer.</li></ul><h3>What Youll Need:</h3><ul><li>6+ years of experience of working on highly scalable and available systems.</li><li>Proficiency with Java / Kotlin.</li><li>Proficiency in Spring, Kubernetes & SQL.</li><li>Proven track record of working on scaling highly available, mission-critical systems with a SOA architecture.</li><li>Experience leading and mentoring teams, and working on multi-quarter projects.</li><li>Knowledge of REST API, design patterns, and scalable containerized systems and microservices.</li><li>Growth mindset and a deep passion to improve customer experience!</li></ul><h3>Nice to Have:</h3><ul><li>Experience with designing, implementing, and maintaining identity technologies such as FGA, OPA, Zanzibar etc.</li><li>Experience with Snowflake, Datadog as well as infrastructure as code tools (e.g., Terraform, Ansible).</li></ul><h3>What we offer:</h3><ul><li>Work in the heart of the FinTech revolution, making a real difference in the financial lives of millions.</li><li>The opportunity to be a founding member of a new squad working on multiple challenging and impactful projects that will shape the future of SoFi.</li><li>A collaborative and supportive work environment where you can learn and grow from talented engineers.</li><li>Competitive salary and benefits package.</li><li>Be part of a company that values innovation and empowers its employees.</li></ul>If you are excited about building tier-0 foundational services from scratch, we encourage you to apply!<h3>Compensation and Benefits</h3>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidates experience, skills, and location.Pay range: $153,600.00 - $264,000.00Payment frequency: AnnualThis role is also eligible for a bonus, long term incentives and competitive benefits.<h3>Equal Employment Opportunity</h3>SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, national origin, age, physical or medical disability, marital status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable law.<h3>Apply for this position</h3>Staff Software Engineer, Digital IdentityWA - Seattle #J-18808-Ljbffr

Employee Applicant Privacy NoticeWho we are:Shape a brighter financial future with us.Together with our members, we're changing the way people think about and interact with personal finance.We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.The role:The Risk Data Science team is looking for a Sr Staff Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk areas at SoFi. The Sr Staff Data Scientist will work closely with Credit Risk, Product, Engineering teams to design solutions for loss mitigation and loss forecasting. These tasks involve researching and applying state of the art machine learning modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business' profitability. By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.What you'll do: The Senior Staff Data Scientist will help SoFi develop better data driven model solutions by:* Proactively identify opportunities and collaborate cross functionally to develop, implement, and continuously improve machine learning models and strategies that support various credit and operational procedures for loss mitigation and loss forecasting* Proactively identify opportunities to apply AI and advanced machine learning approaches to solve complex business problems * Evaluate alternative data sources and external vendor solutions by defining and driving proof of concept projects to demonstrate the solutions' business values* Lead/mentor junior data scientists to develop and deploy complex modeling solutions from initial concepts to final deliverables* Explore and leverage in-house, external, and other open-source machine learning software/algorithms* Contribute in enhancing SoFi's risk model development code base by developing customized Python scripts or packages* Collaborate with Model Risk Management team and Fair Lending team to demonstrate models are developed with high level rigor that satisfy Model Risk Management requirements, Fair Lending requirements, and other regulatory requirements * Spearhead model deployment by collaborating with cross functional teams including Credit, Product, Engineering, and Business Unit * Present model performance and insights to Credit, Risk, and Business Unit leaders* Investigating external data to identify trends in the market and industryWhat you'll need:* 8+ years of work experience in the related areas especially loss mitigation and loss forecasting with a Master's or PhD degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a quantitative field.* Excellent knowledge and experience of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies* Strong knowledge of AI and AI safety* 2+ years of experience in leading and mentoring junior data scientists* Strong programming skills in Python * Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc. * Strong presentation skills: able to use data to tell a clear and compelling story; comfortable with public speaking across various forums, including regulatory examinations, and able to effectively and logically communicate when information is being challenged in an open forum.* Ability and confidence to exercise influence over a wide range of individuals at different levels of technical and business leadership.* Someone who is highly motivated and drives change, is eager to learn and able to work collaboratively in a complex and fluid environmentNice to have:* Experience in communicating with OCC, Fed, and CFPB Why you'll love working here: Please do not add additional company information or copy into the job description in Greenhouse. This info will automatically post there. * Competitive salary packages and bonuses* Comprehensive medical, dental, vision and life insurance benefits* Generous vacation and holidays* Paid parental leave for eligible employees* 401(k) and education on retirement planning* Tuition reimbursement on approved programs* Monthly contribution up to $200 to help you pay off your student loans* Great health & well-being benefits including: telehealth parental support, subsidized gym program* These benefits are only applicable to full time employees Pay range: $172,800.00 - $297,000.00Payment frequency: AnnualThis role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Compensation and BenefitsThe base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!Pay range: $172,800.00 - $297,000.00Payment frequency: AnnualThis role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal EmployeesIf you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Cybersecurity is seeking a Lead Data Scientist to join the Cybersecurity Artificial Intelligence team. This position will use machine learning, data engineering, automation, and Data Science principles to solve enterprise problems and advance our mission. This role is a key contributor to our team and will be directly responsible for design, development, deployment, and automation. The successful candidate will work closely with key stakeholders to rapidly advance the use of traditional and generative AI for cybersecurity. We are seeking candidates with passion to lead the implementation of cutting-edge technology and methodologies while establishing strong partnerships with data owners and stakeholders across Cybersecurity. The Lead Data Scientist will have demonstrated experience as a problem-solver, working alongside IT and business partners, and act as a trusted consultant.Key Responsibilities and Duties<ul><li>Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners</li><li>Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources</li><li>Own the end-to-end development of AI Projects from gathering requirements all the way through deployment in a Production environment.</li><li>Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques</li><li>Deep proficiency in evaluating and comparing data science models using a diverse range of metrics to enable informed decision-making and optimal model selection</li><li>Ability to perform in depth data analysis including but not limited to Machine LearningGenerative AI, RAG frameworks, & NLPToken and sequence classificationClassificationOptimizationTime Series analysisPattern Recognition</li><li>Ability to identify needs and opportunities for advancements in innovations, processes and automation</li><li>Able to work proactively and take initiative without being specifically directed</li><li>Ability to extract & aggregate data from disparate data sources</li><li>Ability to communicate complex topics and visualize data in an easy-to-understand manner when presenting to management</li></ul>Educational Requirements<ul><li>University (Degree) Preferred</li></ul>Work Experience<ul><li>5 Years Required; 7 Years Preferred</li></ul>Physical Requirements<ul><li>Physical Requirements : Sedentary Work</li></ul>Required Skills<ul><li>5+ years of experience in a Data Science or Data Engineering related role</li><li>3+ years of experience developing solutions in Python</li><li>Professional experience using at least one cloud provider (AWS, GCP, Azure, etc.)</li></ul>Preferred Skills<ul><li>5+ years of experience developing solutions in Python and SQL</li><li>Experience in building Generative AI solutions for business problems</li><li>5+ years of experience presenting and delivering results to business partners and leadership</li><li>3+ years of experience with at least one cloud provider (AWS, GCP, Azure, etc.)</li><li>2+ years of experience in Cybersecurity</li><li>2+ years of experience in Splunk SPL</li><li>2+ years of experience with modern data engineering utilizing APIs</li></ul>LI-158487406_MB1Related SkillsCommercial Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market / Industry Dynamics, Predictive Modeling, Programming, StatisticsAnticipated Posting End Date :2024-07-26Base Pay Range : $112,000 / yr. - $160,400 / yr.Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans).Company OverviewTIAA is the leading provider of financial services in the academic, research, medical, cultural and government fields. We offer a wide range of financial solutions, including investing, banking, advice and education, and retirement services.Benefits and Total RewardsThe organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. Thats why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary.We are an Equal Opportunity / Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.Read more about the Equal Opportunity Law here. #J-18808-Ljbffr

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