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

Ptc Data Scientist Interview Guide

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


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

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

Ptc 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?

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

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

Ptc Data Scientist Interview Questions

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 teams projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the teams 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 be in 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 assistance is available for this position.<h2>What you'll do:</h2><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 teams 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>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>8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Masters, 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.

Sr. Data Scientist, Ops Comp Engineering, Analytics 'N Science  Job ID: 2999341 | Amazon.com Services LLC
Do you love data? Do you have a passion for learning new technology? Do you want to make large scale impact?
Join the Operations Compensation team. We are an analytics team that supports Amazon’s Global Operations in evaluating the employee life cycle. We use data to influence the way Amazon grows and scales our business by advising on compensation strategies for over a million employees worldwide.
We are looking for a Sr. Data Scientist to help us extract meaning from large volumes of data to make business decisions. This role will help establish the science vision, strategy, and roadmap for our team and work with senior leadership in the organization to make it happen. They will be a senior technical advisor for the team. The right candidate knows and loves working with new ever-evolving technology, can model multi-dimensional datasets, and can partner effectively with business leaders to answer key questions. They are analytical and creative. They work efficiently and routinely to deliver the optimal solutions for our customers. They have performed complex and business critical analyses that led to high impact for their business. They show strong judgement in making technical trade-offs between short- and long-term business objectives.

Key job responsibilities
In this role, you will have the opportunity to display and develop your skills in the following areas:
• Engage directly with Amazon executive leadership to recommend business intelligence solutions.
• Develop forecasting models or improve existing approaches using scalable techniques.
• Partner with customers to define the data elements and data structures that the team should leverage to enable analytical capabilities.
• Design and implement applications that enable business leaders to build their own scenarios using pre-defined forecasting models.
• Collaborate with Economists on statistical models and techniques to conduct analysis.
• Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.
• Make recommendations for new methods, techniques, and strategies to drive success of our organization.

BASIC QUALIFICATIONS  - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Bachelor's degree
- Experience with statistical models e.g. multinomial logistic regression
- Experience as a leader and mentor on a data science team
- Experience documenting modeling for technical and business leaders
- Experience in forecasting analyses
PREFERRED QUALIFICATIONS  - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Master's degree
- Experience with unstructured textual data
- Experience working with scientists, economists, software developers, or product managers

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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Description & Requirements We now have an exciting opportunity for a Lead Data Scientist specializing in Algorithm Architectures to join the Maximus AI Accelerator supporting the enterprise at large.
We are looking for an accomplished hands-on technical leader and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient.
Additionally, you will be responsible for developing new and innovative algorithms that further the responsible us of AI at Maximus and enable the business to make data driven decisions by crafting mathematically rigorous decision methodologies.
This role requires strong systems thinking, problem-solving abilities, mathematical modeling, and the capacity to manage risk and change in complex environments.
Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work) in addition to managing and expanding our AI Accelerator portfolio and capabilities. Essential Duties and Responsibilities : - Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions. - Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations. - Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner. - Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production / operational environments. - Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital. What You Will Do : - Lead, develop, collaborate, and advance the applied and responsible use of AI, ML, mathematical, and data science solutions throughout the enterprise by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
Lead the use of applied mathematical analyses to provide solutions. - Lead efforts across the enterprise to support the creation of solutions and real mission outcomes, emphasizing and teaching the ability to flex and demonstrate initiative when dealing with ambiguous and fast-paced situations. - Act as technical translator and role model for effectively articulating and translating technical needs, solutions, outputs, and impacts to all levels, regardless of technical proficiency, in a respectful, collaborative, and situationally appropriate manner. - Maintain deep, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production / operational environments. - Lead the creation, curation, and promotion of playbooks, best practices, lessons learned, and firm intellectual capital. Minimum Requirements : - Demonstrated professional experience across the following mathematical domains : Calculus, Statistics, Numerical Analysis, & Linear Algebra - Experience in Computer Vision and Natural Language Processing. - Python Experience with TensorFlow, PyTorch, and Pandas Minimum Education requirement : - PhD in Mathematics or Masters in a STEM discipline (e.g.
Math, Physics, Engineering) with 3+ publications on AI Algorithms in referred journals Years of Required Work-Related Experience : - 3+ yrs experience in Artificial Intelligence and Machine Learning - 3+ yrs experience in evaluating and proposing AI / ML approaches and solutions associated with mission problem scenarios (to include use of vendor solutions / hardware, open source, and custom development) - 3+ years of programming experience - 3+ years of statistics experience Required Certifications : - None Minimum Requirements - Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience. Preferred Key Skills and Abilities (not contractually required) : - Experience developing signal processing algorithms : - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter - Experience working as an individual contributor in AI - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures / paradigms (stand alone and cloud), and software engineering principles - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers.
This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. - Use of a variety of programming languages, including but not limited to Python / Java and frontend frameworks for POC demos and dashboarding - Use and development of program automation, CI / CD, DevSecOps, and Agile - Experience with deep learning model architecture development and philosophy - Cloud certifications (AWS, Azure, or GCP) - 7+ yrs of related experience in AI, advanced analytics, computer science, or software development. EEO Statement Maximus is an equal opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment.
Annual salary is just one component of Maximus's total compensation package.
Other rewards may include short- and long-term incentives as well as program-specific awards.
Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off.
Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience.
An applicant's salary history will not be used in determining compensation.
Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Minimum Salary $ 151,760.00 Maximum Salary $ 200,000.00

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hackajob has partnered with a leading data analytics company that provides data, technology services, and analytics to help organizations manage risks, find opportunities, and improve results. Role: Senior Data Scientist Location: Alpharetta, GA (hybrid) Salary: $100K – $180K depending on experience Requirements:<ul><li>Proven experience in statistical modeling and data science, preferably within credit, insurance, life underwriting, or healthcare research</li><li>Strong hands-on experience working with Electronic Health Records (EHR), medical billing data, and medical coding systems</li><li>Proficient in Python or PySpark, with working knowledge of additional languages such as SQL or R</li><li>Deep understanding of machine learning models; experience with NLP or Large Language Models (LLMs) is a plus</li><li>Ability to independently scope, lead, and execute data science projects from start to finish</li><li>Experience building and deploying predictive models using both structured and unstructured data</li><li>Strong communication and collaboration skills, with the ability to mentor junior staff and share best practices across teams</li><li>Familiarity with large-scale data pipelines and modern analytics tools</li></ul> hackajob is a recruitment platform that will match you with relevant roles based on your preferences. In order to be matched with this role, you’ll need to create an account with us. Please note: This role requires you to be based in the US.

Leidos  has a new and exciting opportunity for a  Data Scientist  in our  National Security Sector's (NSS) Cyber & Analytics Business Area (CABA) . Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At  Leidos , we offer  competitive benefits , including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.  Join us and make a difference in National Security!
Job Summary  :  Leidos is seeking an experienced, results oriented Data Scientist to join our team in the Bethesda, Maryland area. You will play a critical role in shaping our client's IT enterprise architecture. Your responsibilities will span multiple areas, including strategic planning, data security, data compliance, and data integrity to enhance our customer’s data ecosystem.
Responsibilities Include  :
Enterprise Architecture:  Contribute to the design and evolution of our client’s enterprise cloud and data architecture, ensuring interoperability, security, and alignment with business goals. Foster a culture of innovation and continuous improvement.
Strategic Thinking:  Develop data strategies that consider long-term implications, anticipating future needs and trends. Decompose complex problems and develop an analytic approach.
Collaboration:  Collaborate with multiple stakeholders to drive data integration initiatives and foster a data-driven culture.
Compliance:  Analyze current practices to ensure compliance with relevant regulations.
Data Integrity:  Analyze the current data structure, tagging, and quality standards to discover and address anomalies.
Basic Qualifications:
Active TS/SCI security clearance with polygraph
Requires BS degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience. May possess a Doctorate in technical domain.
Proven experience as a Data Scientist, with a focus on complex data environments.
Experience with data science tools and languages, such as Python, R, and Scala, in various data science environments.
Experience with data visualization tools (e.g., Tableau, MS PowerBI) to deliver data analysis solutions and visualizations.
Proficiency in data manipulation and analysis.
Excellent communication skills, with the ability to translate technical insights into actionable recommendations and present them orally or in writing.
Passion for staying up to date with industry trends and advancements.
Preferred Qualifications:
Master’s degree in a relevant field (e.g., Computer Science, Statistics, Data Science).
Five or more years of experience working with or in the Intelligence Community (IC).
Cloud-based data science experience.
Experience producing executive-level products.
At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today.
Original Posting:
February 19, 2025   Description
Leidos  has a new and exciting opportunity for a  Data Scientist  in our  National Security Sector's (NSS) Cyber & Analytics Business Area (CABA) . Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At  Leidos , we offer  competitive benefits , including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.  Join us and make a difference in National Security!
Job Summary  :  Leidos is seeking an experienced, results oriented Data Scientist to join our team in the Bethesda, Maryland area. You will play a critical role in shaping our client's IT enterprise architecture. Your responsibilities will span multiple areas, including strategic planning, data security, data compliance, and data integrity to enhance our customer’s data ecosystem.
Responsibilities Include  :
Enterprise Architecture:  Contribute to the design and evolution of our client’s enterprise cloud and data architecture, ensuring interoperability, security, and alignment with business goals. Foster a culture of innovation and continuous improvement.
Strategic Thinking:  Develop data strategies that consider long-term implications, anticipating future needs and trends. Decompose complex problems and develop an analytic approach.
Collaboration:  Collaborate with multiple stakeholders to drive data integration initiatives and foster a data-driven culture.
Compliance:  Analyze current practices to ensure compliance with relevant regulations.
Data Integrity:  Analyze the current data structure, tagging, and quality standards to discover and address anomalies.
Basic Qualifications:
Active TS/SCI security clearance with polygraph
Requires BS degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience. May possess a Doctorate in technical domain.
Proven experience as a Data Scientist, with a focus on complex data environments.
Experience with data science tools and languages, such as Python, R, and Scala, in various data science environments.
Experience with data visualization tools (e.g., Tableau, MS PowerBI) to deliver data analysis solutions and visualizations.
Proficiency in data manipulation and analysis.
Excellent communication skills, with the ability to translate technical insights into actionable recommendations and present them orally or in writing.
Passion for staying up to date with industry trends and advancements.
Preferred Qualifications:
Master’s degree in a relevant field (e.g., Computer Science, Statistics, Data Science).
Five or more years of experience working with or in the Intelligence Community (IC).
Cloud-based data science experience.
Experience producing executive-level products.
At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today.
Original Posting:
February 19, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $104,650.00 - $189,175.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Receive tips & info on cleared job search, security clearances and career development.

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Overview  LMI is a consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. We believe government can make a difference, and we seek talented, hardworking people who share that conviction.
LMI currently has an opportunity for a Data Scientist / Front End Developer to support an Intelligence Community customer in the McLean area.
At LMI we understand the need for innovative ideas and fresh thinking that can lead to constructive change, better progress, and greater advancements in data analysis and customer support. We seek out the best and brightest minds and strive to maintain an environment that encourages brilliant thought, collaboration, inspiration, and great ideas that leads to excellence in the Intelligence Community at every level. If you are looking for an intelligence career opportunity and not just another job LMI is the place for you.
Responsibilities  The current responsibilities include supporting the metrics program by providing crucial data to measure impact and justify resource investment, as well as delivering insights into customer behavior and interests. This involves translating performance metrics and website analytics into actionable plans to enhance customer interaction and expand market reach. Key tasks include preparing monthly, ad hoc, and performance measurement reports, creating data visualizations for leadership, recommending process improvements, monitoring progress, and providing technical support to users. Additionally, the role involves developing strategies and implementing plans to strengthen relationships between the website, content contributors, and content consumers.
In line with the program's recent initiative to modernize the technology stack, near-term future responsibilities will encompass the development of AI/ML and data-centric capabilities or statistical models. This will involve leveraging software tools, generating visualizations, and conducting capability testing with users to support customer initiatives aimed at utilizing emerging technology solutions.
Qualifications  · TS/SCI with polygraph
· Have relevant exposure to US foreign policy and national security counterterrorism objectives
· Experience with Power BI or Tableau
· Experience with SQL and Python
· Front end web development experience
· Knowledge of and experience with Microsoft Office suite (Excel, Word, PowerPoint)
· Strong team player who possesses outstanding critical thinking, briefing and writing skills, and interacts easily with all levels of clients.
· Ability to navigate multiple tasks at a time
· Excellent organizational skills
· Ability to work independently or as part of a team
· Ability to analyze data and research results
· Demonstrated experience in data visualization
· Demonstrated experience in survey development, implementation, and analysis pertaining to themes such as customer satisfaction, quality and performance
· Demonstrated excellent written and verbal communication skills
· Provide industry research to plan and implement innovative tech on behalf of the customer
Strongly Desired:
· Bachelor’s Degree plus 3 – 5 years of work experience (relevant work experience may be considered in lieu of a degree)
· Advanced front-end skills (UI/UX, Web Security, 508-Compliance / Accessibility)
· Basic back-end development skills (Server-side development, Node, Deno, Swagger, Kibana, SQL Databases, AI-Integration)
· JavaScript
· Angular, React.js, or Vue.js
· Containers/Docker
· Git
· HTTP
· Jira
· Experience with low-to-high transfer
· Experience with ATO process
· DevOps/DevSecOps, Gitlab
EEO Statement    LMI is an Equal Opportunity Employer-all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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Job ID: 2506489
Location:  REMOTE WORK, VA, United States
Date Posted:  Jun 11, 2025
Category:  Information Technology
Subcategory:  Platform Engr
Schedule:  Full-time
Shift:  Day Job
Travel:  No
Minimum Clearance Required:  None
Clearance Level Must Be Able to Obtain:  Public Trust
Potential for Remote Work:  Remote
Benefits:  Click here

We are seeking a highly capable Data Scientist to join the IRS’s Analytics Application Platform (AAP), where you'll not only design and develop AI/ML solutions but also serve as a technical enabler for onboarding customer teams onto the platform. As AAP is the central Platform-as-a-Service (PaaS) for secure and scalable AI/ML development across federal programs, you will play a hands-on role in ensuring customer success — demonstrating platform capabilities, guiding onboarding, and supporting early use case development.
This role is ideal for someone with strong technical foundations in model development and cloud-native ML tooling, combined with the ability to work closely with other data scientists to help them adopt and succeed on the platform. Although this position is currently focused on supporting IRS use cases, it is part of SAIC's Digital Innovation Factory (DIF) and may extend to support future initiatives across other federal, state, and commercial programs.
Key Responsibilities:
Deliver onboarding demos and hands-on walkthroughs for customer data science teams, showcasing platform capabilities and how to efficiently leverage Databricks, JupyterHub, and AWS SageMaker/Bedrock.
Guide customer teams through their initial onboarding milestones including access setup, cluster provisioning, pipeline usage, model experimentation, and promotion workflows.
Serve as a technical point-of-contact for customer users during their onboarding phase, helping translate platform services into value for their specific use cases.
Build secure and reproducible data science pipelines, including data wrangling, feature engineering, and model development using Databricks and AWS-native tools.
Leverage MLflow for model versioning, experiment tracking, and lifecycle governance.
Integrate with CI/CD workflows (Bitbucket, Bamboo) and infrastructure services (S3, Lambda, RDS).
Ensure transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards.
Implement Responsible AI Toolboxes and support ethical governance of ML/LLM models.
Collaborate with cross-functional platform teams (Infra, Trustworthy AI, CSx) to support onboarding and operationalization of AI/ML workloads.
Provide documentation and guidance that enables repeatability and accelerates customer success on the platform.
Qualifications
Required Qualifications:
Master’s (or Bachelor's with equivalent experience) in Computer Science, Data Science, Engineering, or related field.
7+ years in data science roles within cloud environments (preferably AWS).
Hands-on experience with Databricks, JupyterHub, MLflow, Bitbucket, and AWS tools (S3, Lambda, SageMaker, Bedrock).
Strong Python, SQL, R, and Spark proficiency.
Experience working in regulated or government environments.
Strong understanding of AI/ML lifecycle management, data privacy, and ethical model practices.
Desired Skills:
AWS or ML-related certifications.
Familiarity with government compliance and governance frameworks.
Experience in customer-facing data science or platform enablement roles.
Job Description   Description
We are seeking a highly capable Data Scientist to join the IRS’s Analytics Application Platform (AAP), where you'll not only design and develop AI/ML solutions but also serve as a technical enabler for onboarding customer teams onto the platform. As AAP is the central Platform-as-a-Service (PaaS) for secure and scalable AI/ML development across federal programs, you will play a hands-on role in ensuring customer success — demonstrating platform capabilities, guiding onboarding, and supporting early use case development.
This role is ideal for someone with strong technical foundations in model development and cloud-native ML tooling, combined with the ability to work closely with other data scientists to help them adopt and succeed on the platform. Although this position is currently focused on supporting IRS use cases, it is part of SAIC's Digital Innovation Factory (DIF) and may extend to support future initiatives across other federal, state, and commercial programs.
Key Responsibilities:
Deliver onboarding demos and hands-on walkthroughs for customer data science teams, showcasing platform capabilities and how to efficiently leverage Databricks, JupyterHub, and AWS SageMaker/Bedrock.
Guide customer teams through their initial onboarding milestones including access setup, cluster provisioning, pipeline usage, model experimentation, and promotion workflows.
Serve as a technical point-of-contact for customer users during their onboarding phase, helping translate platform services into value for their specific use cases.
Build secure and reproducible data science pipelines, including data wrangling, feature engineering, and model development using Databricks and AWS-native tools.
Leverage MLflow for model versioning, experiment tracking, and lifecycle governance.
Integrate with CI/CD workflows (Bitbucket, Bamboo) and infrastructure services (S3, Lambda, RDS).
Ensure transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards.
Implement Responsible AI Toolboxes and support ethical governance of ML/LLM models.
Collaborate with cross-functional platform teams (Infra, Trustworthy AI, CSx) to support onboarding and operationalization of AI/ML workloads.
Provide documentation and guidance that enables repeatability and accelerates customer success on the platform.
Qualifications
Required Qualifications:
Master’s (or Bachelor's with equivalent experience) in Computer Science, Data Science, Engineering, or related field.
7+ years in data science roles within cloud environments (preferably AWS).
Hands-on experience with Databricks, JupyterHub, MLflow, Bitbucket, and AWS tools (S3, Lambda, SageMaker, Bedrock).
Strong Python, SQL, R, and Spark proficiency.
Experience working in regulated or government environments.
Strong understanding of AI/ML lifecycle management, data privacy, and ethical model practices.
Desired Skills:
AWS or ML-related certifications.
Familiarity with government compliance and governance frameworks.
Experience in customer-facing data science or platform enablement roles.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Overview
SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .
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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.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce 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
Bachelor's Degree
Minimum Year(s) of Experience
9 year(s)
Preferred Knowledge/Skills
Demonstrates intimate-level abilities with, and/or a proven record of success directing efforts in the majority of the following areas:
Managing development teams in building of GenAI solutions, including but not limited to prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back end integration, and iterative development with clients;
Leading a team to document and analyze business processes for Generative AI opportunities, including gathering of requirements, creation of initial GenAI hypotheses, and development of GenAI solution approach;
Collaborating with client team to understand their business problem and select the appropriate models and approachesÊfor GenAI use cases;
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;
Directing architects to design and solution GenAI architectures for clients, specifically for plugin based solutions (i.e., ChatClient application with plugins) and custom GenAI application builds;
Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;
Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;
Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps;
Managing associates and senior associates through coaching, providing feedback, and guiding work performance;
Leading business development activities for clients, including but not limited to facilitating the sales cycle of GenAI proposals; and,
Leading internal asset development to build foundational GenAI practice.

Demonstrates intimate 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, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev;
Possessing hands on experience with Azure, AWS, and / or Google Cloud platforms;
Demonstrating experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.; and,
Delivering successful technology creation, functional code, AI solutions and Data Platforms.

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 an equal 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: $130,000 - $256,000, 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
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<div id='1329906316'></div>Senior Data Scientist, AI FoundationsData is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.Team DescriptionAI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital Ones award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital Ones digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.In this role, you will:<ul><li>Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.</li><li>Leverage a broad stack of technologies Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more to reveal the insights hidden within huge volumes of numeric and textual data.</li><li>Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.</li><li>Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.</li><li>Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</li></ul>The Ideal Candidate is:<ul><li>Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day its about making the right decision for our customers.</li><li>Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.</li><li>A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>Technical. Youre comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.</li><li>Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.</li><li>You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.</li><li>You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.</li></ul>Basic Qualifications:<ul><li>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li><li>A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul>Preferred Qualifications:<ul><li>Masters Degree in STEM field (Science, Technology, Engineering, or Mathematics), or PhD in STEM field (Science, Technology, Engineering, or Mathematics)</li><li>Experience working with AWS</li><li>At least 2 years experience in Python, Scala, or R</li><li>At least 2 years experience with machine learning</li><li>At least 2 years experience with SQL </li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

<div id='1329906415'></div>Manager, Data Scientist - Card Customer ManagementData is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.Team DescriptionThe US Card Data Science team builds industry leading machine learning models to empower various customer management decisions for our existing customers. We collaborate closely with a wide range of cross functional partner teams - software engineers, managers, credit and business analysts, to deliver the solutions from ideation to implementation. We are a team of model developers, who own the full life cycle of our models - infrastructure development, model development, deployment, monitoring, and governance.Role DescriptionIn this role, you will:<ul><li>Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, and more to reveal the insights hidden within huge volumes of numeric and textual data</li><li>Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>The Ideal Candidate is:<ul><li>Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.</li><li>A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. Youre passionate about talent development for your own team and beyond.</li><li>Technical. Youre comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>Statistically-minded. Youve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>A data guru. Big data doesnt faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul>Basic Qualifications:<ul><li>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics</li><li>A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics</li><li>A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics</li></ul></li><li>At least 1 year of experience leveraging open source programming languages for large scale data analysis</li><li>At least 1 year of experience working with machine learning</li><li>At least 1 year of experience utilizing relational databases</li></ul>Preferred Qualifications:<ul><li>PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics</li><li>At least 1 year of experience working with AWS</li><li>At least 4 years experience in Python, Scala, or R for large scale data analysis</li><li>At least 4 years experience with machine learning</li><li>At least 4 years experience with SQL</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Chicago, IL: $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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