The Quest analytics Data Scientist interview guide, interview questions, salary data, and interview experiences.

Quest analytics Data Scientist Interview Guide

Getting ready for an Data Scientist interview at Quest analytics? The Quest analytics Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Quest analytics Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at Quest analytics.</li>
<li>Practice real Quest analytics Data Scientist 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 Quest analytics Data Scientist interview.


Getting ready for an Data Scientist interview at Quest analytics? The Quest analytics Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Quest analytics Data Scientist roles.
- Gain insights into the Data Scientist interview process at Quest analytics.
- Practice real Quest analytics Data Scientist 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 Quest analytics Data Scientist 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.

Quest analytics Data Scientist Interview Process

Let’s say you are designing a marketplace for your website.

Selling firearms is prohibited by your website’s Terms of Service Agreement (not to mention the laws of your country). To this end, you want to create a system that can automatically detect if a listing on the marketplace is selling a gun.

How would you go about doing this?

While designing a system to detect firearms listings on a marketplace website, what metrics could be used to minimize both false positives and false negatives?

While designing a system to detect firearms listings on a marketplace website, what metrics could be used to minimize both false positives and false negatives?

Detecting Firearm Sales

How would you build a model to detect if a post on a marketplace is talking about selling a gun?

Given a list of integers, find the index at which the sum of the left half of the list is equal to the right half. If there is no index where this condition is satisfied return -1.

Note: the number that lies on the index is calculated to the left side of the list.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>nums = [1, 7, 3, 5, 6]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>equivalent_index(nums) -&gt; 2
</code></pre>

In this example, the sum of the elements to the left of index 2 (1 + 7) is equal to the sum of the elements to the right of index 2 (5 + 6).

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>nums = [1,3,5]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>equivalent_index(nums) -&gt; -1
</code></pre>

In this example, there is no index where the sum of the elements to the left is equal to the sum of the elements to the right.

The task is to write a function that takes a list of integers as input and returns the index at which the sum of the integers to the left of the index is equal to the sum of the integers to the right. If no such index exists, the function should return -1.

Find the Index with Equal Left and Right Sum

Let’s say that you’re working on a job recommendation engine. You have access to all user Linkedin profiles, a list of jobs each user applied to, and answers to questions that the user filled in about their job search.

Using this information, how would you build a job recommendation feed?

What problem can arise in job recommendation systems with regard to initial recommendations?

What problem can arise in job recommendation systems with regard to initial recommendations?

Job Recommendation

Quest analytics Data Scientist Interview Questions

Your Quest: Build the software products that improve healthcare access
At Quest Analytics, our mission is to make healthcare more accessible for all Americans. As part of our team, you’ll work in an innovative, collaborative, challenging, and flexible environment that supports your personal growth, every day.  We are looking for talented and motivated Software Engineers with .Net experience with a background in developing commercial software to join our growing team!
You should be able to hit the ground running and take our products to the next level as we scale our business. The engineers who build our platforms work across the stack and are always willing to go the extra mile to deliver the highest quality in enterprise software. As an engineer at Quest Analytics, you will build the tools that give access to healthcare for millions.
What you'll do:   Contribute to the design and architecture of our platform
Help scale the platform and build new features
Develop novel algorithms to solve challenging problems
Create tooling for data and process automation
Research and design for future tools and techniques
What it requires:   A bachelor’s degree (preferably in Computer Science, Computer Engineering, Information Systems & Technology, or a related technical degree program) or equivalent Software Engineering work experience
Minimum 3+ years of software development with Microsoft’s .NET Framework working at a commercial Software Company
C#, including asynchronous and parallel programming
Performance optimizations in C#
SQL Server or other relational databases
Dapper and/or Entity Framework
Performance optimizations in SQL (or other relational database) with large data volumes, including indexing and query plans
NoSQL (MongoDB preferred)
Cloud development (Azure preferred with Functions, Event Grid, Service Bus, and Blob Storage)
REST APIs: designing, building, and consuming
Frontend web development (HTML, CSS/Sass and modern JavaScript frameworks – React preferred)- Nice to have
Unit testing (XUnit preferred) and following SOLID principles
Source control systems (Git preferred)
The ideal candidate for this role:   Communicates effectively and works well within a team
Worked previously in an Agile, product-focused, and deadline-driven environment
Can translate high-level requirements into workable design, and deliver production-ready software
Takes ownership of all personal output
We are not currently engaging with outside agencies on this role.
Visa sponsorship is not available at this time .
What you’ll appreciate:
•Workplace flexibility – you choose between remote, hybrid or in-office.
•Company paid employee medical, dental and vision
•Competitive salary and success sharing bonus
•Flexible vacation with no cap, plus sick time and holidays
•An entrepreneurial culture that won’t limit you to a job description
•Being listened to, valued, appreciated -- and having your contributions rewarded
•Enjoying your work each day with a great group of people
Apply TODAY!
careers.questanalytics.com
About Quest Analytics
For more than 30 years, we’ve been improving provider network management one groundbreaking innovation at a time. 95% of America’s health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here.
Visa sponsorship is not available at this time.
Preferred work locations are within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois (outside of Chicago proper), Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming.
Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment.
Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence hr@questanalytics.com
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time.

#J-18808-Ljbffr

Your Quest: Build the software products that improve healthcare access At Quest Analytics, our mission is to make healthcare more accessible for all Americans. As part of our team, you'll work in an innovative, collaborative, challenging, and flexible environment that supports your personal growth, every day. We are looking for talented and motivated Senior Software Engineers with .Net experience with a background in developing commercial software to join our growing team! You should be able to hit the ground running and take our products to the next level as we scale our business. The engineers who build our platforms work across the stack and are always willing to go the extra mile to deliver the highest quality in enterprise software. As an engineer at Quest Analytics, you will build the tools that give access to healthcare for millions. What you'll do: <ul><ul><li>Contribute to the design and architecture of our platform </li><li>Help scale the platform and build new features </li><li>Develop novel algorithms to solve challenging problems </li><li>Create tooling for data and process automation </li><li>Research and design for future tools and techniques </li></ul></ul> What it requires: <ul><ul><li>A bachelor's degree (preferably in Computer Science, Computer Engineering, Information Systems & Technology, or a related technical degree program) or equivalent Software Engineering work experience</li><li>Minimum 7+ years of software development with Microsoft's .NET Framework working at a commercial Software Company </li><li>C#, including asynchronous and parallel programming </li><li>Performance optimizations in C# </li><li>SQL Server or other relational databases </li><li>Dapper and/or Entity Framework </li><li>Performance optimizations in SQL (or other relational database) with large data volumes, including indexing and query plans </li><li>NoSQL (MongoDB preferred) </li><li>Cloud development (Azure preferred with Functions, Event Grid, Service Bus, and Blob Storage) </li><li>REST APIs: designing, building, and consuming </li><li>Frontend web development (HTML, CSS/Sass and modern JavaScript frameworks - React preferred) </li><li>Unit testing (XUnit preferred) and following SOLID principles </li><li>Source control systems (Git preferred) </li></ul></ul> The ideal candidate for this role: <ul><ul><li>Communicates effectively and works well within a team </li><li>Worked previously in an Agile, product-focused, and deadline-driven environment </li><li>Can translate high-level requirements into workable design, and deliver production-ready software </li><li>Takes ownership of all personal output </li></ul></ul> We are not currently engaging with outside agencies on this role. Visa sponsorship is not available at this time. What you'll appreciate: •Workplace flexibility - you choose between remote, hybrid or in-office. •Company paid employee medical, dental and vision •Competitive salary and success sharing bonus •Flexible vacation with no cap, plus sick time and holidays •An entrepreneurial culture that won't limit you to a job description •Being listened to, valued, appreciatedand having your contributions rewarded •Enjoying your work each day with a great group of people Apply TODAY! careers.questanalytics.com About Quest Analytics For more than 30 years, we've been improving provider network management one groundbreaking innovation at a time. 95% of America's health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here. Visa sponsorship is not available at this time. Preferred work locations are within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois (outside of Chicago proper), Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming. Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence hr@questanalytics.com NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time.

Your Quest: Build the software products that improve healthcare access

At Quest Analytics, our mission is to make healthcare more accessible for all Americans. As part of our team, you'll work in an innovative, collaborative, challenging, and flexible environment that supports your personal growth, every day. We are looking for talented and motivated Software Engineers with .Net experience with a background in developing commercial software to join our growing team!

You should be able to hit the ground running and take our products to the next level as we scale our business. The engineers who build our platforms work across the stack and are always willing to go the extra mile to deliver the highest quality in enterprise software. As an engineer at Quest Analytics, you will build the tools that give access to healthcare for millions.

What you'll do:
Contribute to the design and architecture of our platform
Help scale the platform and build new features
Develop novel algorithms to solve challenging problems
Create tooling for data and process automation
Research and design for future tools and techniques
What it requires:      A bachelor's degree (preferably in Computer Science, Computer Engineering, Information Systems & Technology, or a related technical degree program) or equivalent Software Engineering work experience
Minimum 7+ years of software development with Microsoft's .NET Framework working at a commercial Software Company
3+ Years of experience leading engineering projects or teams
C#, including asynchronous and parallel programming
Performance optimizations in C#
SQL Server or other relational databases
Dapper and/or Entity Framework
Performance optimizations in SQL (or other relational database) with large data volumes, including indexing and query plans
NoSQL (MongoDB preferred)
Cloud development (Azure preferred with Functions, Event Grid, Service Bus, and Blob Storage)
REST APIs: designing, building, and consuming
Frontend web development (HTML, CSS/Sass and modern JavaScript frameworks - React preferred)
Unit testing (XUnit preferred) and following SOLID principles
Source control systems (Git preferred)
The ideal candidate for this role:      Communicates effectively and works well within a team
Worked previously in an Agile, product-focused, and deadline-driven environment
Can translate high-level requirements into workable design, and deliver production-ready software
Takes ownership of all personal output

We are not currently engaging with outside agencies on this role.

Visa sponsorship is not available at this time .

What you'll appreciate:

• Workplace flexibility - you choose between remote, hybrid or in-office.

• Company paid employee medical, dental and vision

• Competitive salary and success sharing bonus

• Flexible vacation with no cap, plus sick time and holidays

• An entrepreneurial culture that won't limit you to a job description

• Being listened to, valued, appreciated -- and having your contributions rewarded

• Enjoying your work each day with a great group of people

Apply TODAY!

careers.questanalytics.com

About Quest Analytics

For more than 30 years, we've been improving provider network management one groundbreaking innovation at a time. 95% of America's health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here.

Visa sponsorship is not available at this time.

Preferred work locations are within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois (outside of Chicago proper), Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming.

Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment.

Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence hr@questanalytics.com

NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time.

Join to apply for the  AI & GenAI Data Scientist Director  role at  PwC Experience Center Stockholm
2 days ago Be among the first 25 applicants
Join to apply for the  AI & GenAI Data Scientist Director  role at  PwC Experience Center Stockholm
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Lead in line with our values and brand.
Develop new ideas, solutions, and structures; drive thought leadership.
Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
Balance long-term, short-term, detail-oriented, and big picture thinking.
Make strategic choices and drive change by addressing system-level enablers.
Promote technological advances, creating an environment where people and technology thrive together.
Identify gaps in the market and convert opportunities to success for the Firm.
Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.

Minimum Degree Required (BQ)

Bachelor's Degree

Minimum Year(s) Of Experience (BQ)

10 year(s)

Degree Preferred

Master's Degree

Preferred Knowledge/Skills

Demonstrates thought leader-level abilities and/or a proven record of success managing the identification and addressing of client needs:

Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach
Working with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases
Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds
Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases
Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;
Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;
Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;
Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps
Structuring, write, communicate and facilitate client presentations; and,
Managing staff through coaching, providing feedback, and guiding work performance.

Demonstrates Thought Leader-level Abilities And/or a Proven Record Of Success Learning And Performing In Functional And Technical Capacities, Including The Following Areas

Managing GenAI application development teams including back-end and front-end integrations
Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev
Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $148,000 - $317,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance  Seniority level      Seniority level  Director
Employment type      Employment type  Full-time
Job function      Job function  Engineering and Information Technology
Industries  Design Services
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Why USAA?At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.The OpportunityAs a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team’s projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team’s model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies.We offer a flexible work environment that requires an individual to bein the office 4 days per week.This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistanceisavailable for this position.<h4>What you'll do:</h4><ul><li>Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation.</li><li>Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises.</li><li>Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team’s success by simplifying processes across the model development lifecycle and driving automation.</li><li>Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives.</li><li>Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization.</li><li>Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations.</li><li>Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.</li><li>Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.</li><li>Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.</li><li>Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.</li></ul>What you have:<ul><li>Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.</li><li>8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master’s, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis.</li><li>3 years of direct management experience.</li><li>Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences.</li><li>Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions.</li><li>Experience in developing and reviewing modeling solutions based on broad range of techniques – e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.</li><li>Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems.</li><li>Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.</li><li>A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).</li><li>Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization.</li></ul>What sets you apart:<ul><li>Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services.</li><li>Strong communication skills with the ability to influence stakeholders and align cross-functional teams.</li><li>Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment.</li><li>Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization.</li></ul>Compensation range:The salary range for this position is: $189,370 - $361,950.Compensation:USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.Benefits:At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Dear Candidate, Straive is hiring for Senior Data Scientist – Pricing & Promotion Analytics Interested candidate can apply to below link:-<a>https://forms.gle/n7TQN1JP41SJ46NB7</a> Job Description:-We are seeking a highly skilled and experienced Lead Data Scientist to join our Pricing & PromotionAnalytics team. This role is focused on solving high-impact commercial problems in the ConsumerPackaged Goods (CPG) space, including trade promotion optimization, price elasticity modeling,promotion response analytics, and assortment optimization.The ideal candidate will bring deep technical expertise, strong business acumen, and hands-onexperience working with syndicated retail data (Nielsen, IRI, etc.) and advanced modelingtechniques. This role also offers the opportunity to contribute to the development andenhancement of pricing and promotion optimization tools. Key Responsibilities<ul><li>Design and implement advanced models to solve business problems such as:</li><li>Trade Promotion Optimization (TPO)</li><li>Price Elasticity Modeling</li><li>Promotion Response Estimation</li><li>Assortment Optimization</li></ul>Apply a range of statistical and machine learning techniques, including but not limited to:<ul><li>Linear and Non-linear Regression</li><li>Hierarchical Bayesian Regression (HBR)</li><li>Mixed-effects models</li><li>Optimization algorithms (e.g., linear, non-linear, integer programming)</li></ul>Collaborate on the development and enhancement of pricing and promotion optimization tools, contributing algorithms and technical logic.<ul><li>Leverage syndicated POS data (e.g., Nielsen, IRI) and internal client data to develop robust,</li></ul>production-grade models.<ul><li>Translate analytical outputs into business insights and actionable recommendations for pricing, promotion planning, and assortment strategy.</li><li>Work cross-functionally with business, tech, and product teams to embed models into</li></ul>enterprise systems and business workflows.<ul><li>Provide technical mentorship to junior data scientists and contribute to the development of modeling standards and best practices.</li></ul> Required Skills<ul><li>5+ years of hands-on experience in data science or applied analytics</li><li>Strong understanding of CPG commercial functions: pricing, promotions, RGM, category management</li><li>Statistical Modeling: Linear/Multiple Regression, Logistic Regression, Hierarchical Bayesian Regression (HBR), Time-Series Forecasting</li><li>Optimization Techniques: Linear programming (LP), Mixed-Integer Programming (MIP),</li></ul>Constraint-based modeling, Gradient-based optimization<ul><li>Programming Languages: Proficiency in Python or R (preferred libraries: statsmodels, pyMC3, scikit-learn, pandas, numpy)</li><li>SQL: Strong data manipulation and querying skills</li><li>Data Visualization: Experience with tools such as Tableau, Power BI, or Python/R-based</li></ul>libraries like matplotlib, seaborn, plotly<ul><li>Cloud & Tooling (optional but preferred): Exposure to cloud platforms (AWS, GCP, Azure),</li></ul>Git, Docker, CI/CD pipelines<ul><li>CPG Data Handling: Experience working with large-scale retail data such as Nielsen, IRI, retailer POS systems; comfort with cleaning, transforming, and harmonizing disparate data sets</li><li>Strong business communication skills; ability to explain technical concepts to non-technical stakeholders</li><li>Good to have prior consulting experience</li></ul>

Join to apply for the  Senior Data Scientist  role at  Sigma Squared
Join to apply for the  Senior Data Scientist  role at  Sigma Squared
Overview

Sigma Squared is looking for an analytical, research oriented
Overview

Sigma Squared is looking for an analytical, research oriented  Senior Data Scientist  to join our foundational team. As an experienced member of our growing Data Science team you will be responsible for leading complex data initiatives, delivering influential insights for feature development/enhancement and creating robust machine learning models. Your ability to automate processes and effectively communicate statistical findings to non-technical stakeholders will be crucial.

Key Responsibilities

Own the Data:

Apply advanced statistical procedures and machine learning algorithms to extract meaningful insights for our customers.
Conduct exploratory data analysis, data transformation and feature engineering on large, complex datasets.
Cross-functional partnership with Product, Engineering and Customer teams to understand analytical needs and deliver data-driven solutions.

Innovative Problem Solver:

Research and propose solutions to complex data analytics challenges.
Design and implement algorithms that address specific business needs and improve processes.

Process Automation and Integration:

Automate data workflows and integrate systems to enhance efficiency and accuracy.
Ensure seamless data pipelines and integration with existing infrastructure.
Collaborate with Data Engineering to build data pipelines.

Visual Communication of Insights:

Create compelling data visualizations and reports that effectively communicate statistical insights to non-technical customers.
Translate technical findings into actionable business recommendations.

Skills And Qualifications

Education and Expertise:

Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Economics, or related quantitative fields. Pre-MBA and Pre-PhD students are encouraged to apply.
Minimum of 4 years of professional experience as a Data Scientist.
Proficiency in R or STATA; advanced proficiency in Python.
Deep understanding of machine learning techniques and programming principles.

Analytical Proficiency:

Exceptional grasp of statistics, multivariable calculus, and linear algebra.
Experience with data visualization tools (e.g., Tableau, Power BI) and proficiency in visualization languages (e.g., ggplot, matplotlib).
Experience with generative AI models.
Ability to distill complex technical concepts into clear and actionable insights for non-technical stakeholders.

Innovative and Agile:

Demonstrated ability to thrive in a fast-paced, innovative environment.
Proven track record of achieving goals through creative problem-solving and collaboration.

What we offer

A uniquely compelling opportunity to advance our mission with world class colleagues, a tremendous amount of responsibility and autonomy, and access to all the information you need to succeed. Plus:

Competitive salary
Comprehensive health, dental, vision, and FSA/HSA
401K with employer match
Flexible PTO and all the usual holidays
Fully stocked kitchen with coffee and snacks
Pre-tax commuter benefits
Employer-paid life and disability insurance
Educational assistance and training reimbursement
Employee assistance with no-cost counseling, referrals, and resources
Financial wellbeing support with no-cost consultations, personalized assessments, and coaching
Adoption assistance, free legal support, and more

More About us...

At Sigma Squared, we leverage econometrics and cutting-edge technology to transform how organizations optimize their workforce. Our solutions empower clients to make data-driven decisions that enhance efficiency, productivity, and overall performance. To learn more about Sigma Squared, visit sigmasquared.io

If you are a seasoned professional who thrives in a fast-paced environment, excels at building relationships, and is passionate about driving customer success through innovative solutions, we invite you to apply for this pivotal role at Sigma Squared.

Seniority level      Seniority level  Mid-Senior level
Employment type      Employment type  Full-time
Job function      Job function  Engineering and Information Technology
Industries  Software Development
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Job Profile <h1>Position Overview</h1>At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the companys success. As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh-PA, Cleveland-OH or Strongsville-OH. Looking for candidates with: Natural Language Processing (NLP) PyTorch / Tensorflow Small / Large Language Model Experience Prompt Engineering Preferred: MS Azure or AWS experience<h1>Job Description</h1><ul><li>Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.</li><li>Participates in the data gathering, data processing and data mining of large and complex datasets.</li><li>Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.</li><li>Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.</li><li>May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.</li></ul>PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:<ul><li>Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.</li><li>Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.</li></ul><h1>Qualifications</h1>Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.<h2>Preferred Skills</h2>Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning<h2>Competencies</h2>Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools<h2>Work Experience</h2>Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.<h2>Education</h2>Masters<h2>Certifications</h2>No Required Certification(s)<h2>Licenses</h2>No Required License(s)<h1>Pay Transparency</h1>Base Salary: $55,000.00 $161,200.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.<h1>Application Window</h1>Generally, this opening is expected to be posted for two business days from 06/10/2025, although it may be longer with business discretion.<h1>Benefits</h1>PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.To learn more about these and other programs, including benefits for full time and part-time employees, visit <a target="_blank" href="http://yourpnctotalrewards.com">Your PNC Total Rewards</a>.<h1></h1><h1>Disability Accommodations Statement</h1>If an accommodation is required to participate in the application process, please contact us via email at <a href="mailto:AccommodationRequest@pnc.com" target="_blank">AccommodationRequest@pnc.com</a>. Please include accommodation request in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.<h1>Equal Employment Opportunity (EEO)</h1> PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.<h1>California Residents </h1>Refer to the <a href="https://content.pncmc.com/live/pnc/aboutus/HR/Onboarding/PNC_CCPA_Privacy_Disclosure_Employee.pdf" target="_blank">California Consumer Privacy Act Privacy Notice</a> to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Why USAA?At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.Embrace a fulfilling career at USAA, where our core values honesty, integrity, loyalty and service define how we treat each other and our members. Be part of what truly makes us special and impactful.The OpportunityThe Bank AI/ML team is looking to fill several Senior Data Science positions. Candidates with backgrounds in model development for credit risk, marketing, or everyday banking are preferred.As a dedicated Data Scientist Senior you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAAs tooling, growing the companys library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale.This position can work remotely in the continental U.S. with occasional business travel.<h2>What you'll do:</h2><ul><li>Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business.</li><li>Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.</li><li>Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.</li><li>Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.</li><li>Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences.</li><li>Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts.</li><li>Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data.</li><li>Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations.</li><li>Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation.</li><li>Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.</li><li>Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.</li><li>Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.</li><li>Participates in internal communities that drive the maintenance and transformation of data science technologies and culture.</li><li>Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.</li></ul>What you have:<ul><li>Bachelors degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.</li><li>6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Masters, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis.</li><li>4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models.</li><li>4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.</li><li>Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).</li><li>Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc.</li><li>Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.</li><li>Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics.</li><li>Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts.</li><li>Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc.</li><li>Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc.</li><li>Experience guiding and mentoring junior technical staff in business interactions and model building.</li><li>Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.</li></ul>What sets you apart:<ul><li>Medium or large bank experience.</li><li>Strong knowledge of Python and/or SAS.</li><li>Control partner collaboration experience.</li><li>Knowledge of Model Risk Management, Model Governance, and Regulatory requirements.</li></ul>Compensation range: The salary range for this position is: $143,320 - $273,930.Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Join to apply for the  Data Scientist - Financial Analytics  role at  Lensa
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Lensa is the leading career site for job seekers at every stage of their career. Our client, Cargomatic, is seeking professionals in San Francisco, CA. Apply via Lensa today!

Cargomatic is a technology-driven leader in the logistics and freight transportation industry, dedicated to delivering data-backed, efficient, and reliable services to our customers. As we continue to grow, we’re looking for innovative team members who are passionate about leveraging data to drive financial and operational insights.

Cargomatic was named to the list of Built in Best Places to Work for 2023 and 2024, which recognizes the benefits we offer, our people-first culture and our commitment to supporting our employees’ success, growth and well-being.

Position Overview

We are looking for a Data Scientist with a strong financial analytics background to join our Finance team. This role will focus on building and managing dashboards that provide critical insights into Cargomatic’s financial performance, cost structure, and operational metrics. As a bridge between data science and FP&A, you will be responsible for transforming complex data into actionable insights and supporting financial decision-making across the organization.

Key Responsibilities

Dashboard Development & Reporting:
Design, build, and maintain Tableau dashboards that monitor key financial and operational metrics, including revenue, costs, and profitability
Work closely with the FP&A and finance teams to develop dashboards that align with business goals and provide real-time visibility into financial performance
Ensure data integrity and accuracy within dashboards, updating them regularly to reflect the latest financial data and insights
Financial Data Analysis:
Conduct detailed analyses of financial data, identifying trends, anomalies, and opportunities to improve financial performance
Support FP&A efforts by providing insights into revenue streams, cost drivers, and profitability, helping to inform budget planning and forecasting
Perform ad hoc financial analyses and create reports as requested by leadership to support strategic initiatives and decision-making
Cross-Functional Collaboration:
Partner with Finance, Operations, and other key departments to understand their data needs, develop meaningful reports, and provide insights to drive business outcomes
Work closely with IT and data engineering teams to ensure data availability, quality, and accessibility across finance-focused data projects
Act as a financial data consultant within the company, offering insights and guidance on data-related questions, particularly those relevant to financial planning and analysis
Data Modeling & Predictive Analysis:
Develop and maintain data models to support forecasting, variance analysis, and financial planning initiatives
Utilize predictive modeling techniques to support scenario analysis, helping the FP&A team to understand potential financial outcomes based on various business strategies
Drive automation efforts for financial reporting, leveraging data science tools to increase efficiency and accuracy in financial processes

Qualifications

Bachelor’s degree in Finance, Data Science, Business Analytics, Statistics, or a related field; an advanced degree is preferred
3+ years of experience in data science, financial analytics, or a similar role with a focus on financial data
Advanced proficiency with Tableau and experience in creating finance-focused dashboards that deliver key business insights
Strong analytical skills with experience in financial modeling, data analysis, and an understanding of core FP&A principles
Proficient in SQL for database querying, with familiarity in Python or R for data manipulation and analysis being a plus
Exceptional problem-solving abilities, with a keen eye for detail and a data-driven approach to decision-making
Excellent communication skills, with the ability to present complex data insights to both technical and non-technical audiences

The expected salary range for this role is $130,000 to $160,000. The actual base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and other factors permitted by law. Decisions will be made on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

To learn more about how we use your data, Click Here (https://cargomatic.com/privacy-notice-for-california-candidates/) .

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Seniority level    Seniority level Mid-Senior level
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Job function    Job function Engineering and Information Technology
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Quest analytics Data Scientist Interview Guide

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Quest analytics Data Scientist Interview Process

Quest analytics Data Scientist Interview Questions

Quest analytics Data Scientist Jobs