Manager, Data Science - AI Foundations
How well this resume fits
Compared with a sample resume. Compare your own
Not sure The job lists no required items.
How close the work is
Weak2 of 10 named skills are shown in described work and 0 are only listed or mentioned (rule: met = 1, partial = ½; strong ≥ 75%, moderate ≥ 50%).
How strong your resume shows it
ModerateOf 16 supported items, 2 have strong evidence (a reported result or a confirmed answer) and 8 moderate (used in a described task).
What the job asks for
| What the job asks | Required? | Do you have it? | From your resume |
|---|---|---|---|
| Skill statistical modeling 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! | Not stated | Not sure The résumé doesn't mention statistical modeling. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill Pytorch Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal… | Not stated | Not sure The résumé doesn't mention Pytorch. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill Natural Language Processing 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. | Not stated | Not sure The résumé doesn't mention Natural Language Processing. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill computer vision 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… | Not stated | Not sure The résumé doesn't mention computer vision. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Education degree 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: | Not stated | Yes B.S. (A past date (2020) is listed; the resume doesn’t say “expected”, so this is treated as completed.) (Parsed from lower-quality page text; check it against the original posting.) | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
| Education Bachelor's A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics,… | Not stated | Yes B.S. (A past date (2020) is listed; the resume doesn’t say “expected”, so this is treated as completed.) (Parsed from lower-quality page text; check it against the original posting.) | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
| Experience 6 years of experience …Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics | Not stated | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 6+. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Education Master's A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics,… | Not stated | Partly The résumé lists a degree below the level the job names. (Parsed from lower-quality page text; check it against the original posting.) | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
| Experience 4 years of experience …or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics | Not stated | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 4+. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Education PhD A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics,… | Not stated | Partly The résumé lists a degree below the level the job names. (Parsed from lower-quality page text; check it against the original posting.) | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
| Experience 1 year of experience …Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics | Not stated | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 1+. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Experience 1 year of experience At least 1 year of experience leveraging open source programming languages for large scale data analysis | Not stated | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 1+. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Experience 1 year of experience At least 1 year of experience working with machine learning | Not stated | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 1+. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Skill machine learning At least 1 year of experience working with machine learning | Not stated | Not sure The résumé doesn't mention machine learning. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Experience 1 year of experience At least 1 year of experience utilizing relational databases | Not stated | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 1+. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Education PhD PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) | Not stated | Partly The résumé lists a degree below the level the job names. (Parsed from lower-quality page text; check it against the original posting.) | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
| Skill AWS Experience working with AWS | Not stated | Not sure The résumé doesn't mention AWS. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Experience 4 years At least 4 years’ experience in Python, Scala, or R | Not stated | Partly The résumé shows 6.7 years in dated roles in total, but time spent on “Python” specifically can't be measured from the dates. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Skill Python At least 4 years’ experience in Python, Scala, or R | Not stated | Yes The résumé shows Python used with a reported result. (Parsed from lower-quality page text; check it against the original posting.) | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. Wrote a demand forecast in Python (pandas, statsmodels) for 120 lanes that cut forecast error from 22% to 14%. Pulled and cleaned patient visit data (about 2M rows a month) in SQL and Python for clinic scheduling reports. |
| Skill Scala At least 4 years’ experience in Python, Scala, or R | Not stated | Not sure The résumé doesn't mention Scala. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill R At least 4 years’ experience in Python, Scala, or R | Not stated | Not sure The résumé doesn't mention R. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Experience 4 years At least 4 years’ experience with machine learning | Not stated | Partly The résumé shows 6.7 years in dated roles in total, but time spent on “machine learning” specifically can't be measured from the dates. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Experience 4 years At least 4 years’ experience with SQL | Not stated | Partly The résumé shows 6.7 years in dated roles in total, but time spent on “SQL” specifically can't be measured from the dates. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Skill SQL At least 4 years’ experience with SQL | Not stated | Yes The résumé shows SQL used with a reported result. (Parsed from lower-quality page text; check it against the original posting.) | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. Built and maintain 14 Tableau dashboards on SQL Server for on-time delivery, carrier cost and warehouse throughput, used by 60+ managers each week. Pulled and cleaned patient visit data (about 2M rows a month) in SQL and Python for clinic scheduling reports. |
| Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| The minimum and maximum full-time annual salaries for this role are listed below, by location. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| 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. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Incentives could be discretionary or non discretionary depending on the plan. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Learn more at theCapital One Careers website. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| This role is expected to accept applications for a minimum of 5 business days. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| No agencies please. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Capital One promotes a drug-free workplace. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| 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 | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| San Francisco, California Police Code Article 49, Sections 4901-4920 | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Philadelphia’s Fair Criminal Records Screening Act | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| 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 [email protected]. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| For technical support or questions about Capital One's recruiting process, please send an email to [email protected] | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| 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. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Capital One Financial is made up of several different entities. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| 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. | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
Left out 7 sentences about pay, equal-opportunity or legal wording: they describe the employer, not what you need.
How the match was worked out
Coverage: what the job asks, what the résumé shows, what is left
48% of the weighted requirements are covered by résumé evidence. preferred: met 2, partly 4, missing 12 · required: met 8, partly 2, missing 1 · unknown: met 0, partly 0, missing 4
weight = 3 required / 2 preferred / 1 unknown, +1 emphasis (expert, strong, extensive…), +1 named in the job title, +½ per repeat (max +1); rating = 3 met, 2 partially met with the term in described work, 1.5 partially met (listed or mentioned), 0 unknown or mismatch; coverage = Σ weight×rating/3 ÷ Σ weight over rows that can be judged (work-authorization, location and clearance rows need your answer and are left out).
Missing from the résumé
- required r14 At least 1 year of experience working with machine learning (weight 4.0)
- preferred r17 Experience working with AWS (weight 2.5)
- preferred r20 At least 4 years’ experience in Python, Scala, or R (weight 2.0)
- preferred r21 At least 4 years’ experience in Python, Scala, or R (weight 2.0)
- preferred r27 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 w (weight 2.0) missing: Capital One
- preferred r29 This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). (weight 2.0) missing: LTI
- preferred r32 Learn more at theCapital One Careers website. (weight 2.0) missing: One Careers
- preferred r37 Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding (weight 2.0) missing: Article, New York Correction, Law
- preferred r38 San Francisco, California Police Code Article 49, Sections 4901-4920 (weight 2.0) missing: California Police Code, Article, Sections
- preferred r39 Philadelphia’s Fair Criminal Records Screening Act (weight 2.0) missing: Fair Criminal Records, Screening Act
- preferred r41 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 contac (weight 2.0) missing: HR / recruiting
- preferred r42 For technical support or questions about Capital One's recruiting process, please send an email to [email protected] (weight 2.0) missing: IT support, Capital One, HR / recruiting, Careers
- preferred r45 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 p (weight 2.0) missing: Canada, Capital One Canada, United Kingdom, Capital One Europe, Philippines, Capital One Philippines, Service Corp
- unknown r3 Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing application (weight 3.0) missing: NLP, LLMs / generative AI, Customer service
- unknown r4 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 optimi (weight 2.0) missing: Training, one, more key subdomains, RLHF
- unknown r1 As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database (weight 1.0) missing: Databases
- unknown r2 Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden wit (weight 1.0) missing: Ultraclusters, Hugging Face, Lightning
Only partly shown
- required r8 A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field (weight 3.0) missing: Mathematics, Computer Science found: Statistics, Economics, Operations, Research, Data analysis
- required r10 A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 yea (weight 3.0) missing: Mathematics, Computer Science found: Statistics, Economics, Operations, Research, Data analysis
- preferred r16 PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) (weight 2.0) missing: STEM, Science, Technology, Engineering, Mathematics
- preferred r18 At least 4 years’ experience in Python, Scala, or R (weight 2.0)
- preferred r22 At least 4 years’ experience with machine learning (weight 2.0) missing: Machine learning
- preferred r23 At least 4 years’ experience with SQL (weight 2.0)
Needs your answer
Nothing depends on an answer.
Sentences the rules cannot check (not counted)
- preferred r25 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. (weight 2.0)
- preferred r26 The minimum and maximum full-time annual salaries for this role are listed below, by location. (weight 2.0)
- preferred r28 Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. (weight 2.0)
- preferred r30 Incentives could be discretionary or non discretionary depending on the plan. (weight 2.0)
- preferred r31 Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. (weight 2.0)
- preferred r33 Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. (weight 2.0)
- preferred r34 This role is expected to accept applications for a minimum of 5 business days. (weight 2.0)
- preferred r35 No agencies please. (weight 2.0)
- preferred r36 Capital One promotes a drug-free workplace. (weight 2.0)
- preferred r40 and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. (weight 2.0)
- preferred r43 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available throu (weight 2.0)
- preferred r44 Capital One Financial is made up of several different entities. (weight 2.0)
Lines under a requirements heading the rules could not turn into an item
- Preferred Qualifications: McLean, VA: $197,300 - $225,100 for Mgr, Data Science
- Preferred Qualifications: New York, NY: $215,200 - $245,600 for Mgr, Data Science
- Preferred Qualifications: San Jose, CA: $215,200 - $245,600 for Mgr, Data Science
- Preferred Qualifications: 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
Matched by plain text only (not a known skill, so no judgment of how it was used): Economics
What the role does (not weighted)
On the résumé: Statistics, A/B testing, Research
Not on the résumé: Data Science, AI, Foundations, Databases, Fortune, Data Scientist, Capital One, Machine learning, Foundations Specialist Models, Design, Eno, LLMs / generative AI, Stakeholder management, Ultraclusters, Hugging Face, Lightning, NLP, LLMs / generative AI, Customer service, Training, Manufacturing, Communication, advanced ML, DL technologies, language models, are passionate about developing further, Cloud platforms, one, more key subdomains, RLHF, delivering libraries, platforms
Job title terms: Data Science (not found), AI (not found), Foundations (not found)
What the résumé says (as the rules read it)
Skills: Python (supported by outcome), SQL (supported by outcome), Tableau (supported by outcome), Excel (supported by outcome), pandas (supported by outcome), PostgreSQL (used in task), A/B testing (listed), Git (listed), Matplotlib (listed), NumPy (listed), Power BI (listed)
Roles: Data Analyst at Harborline Logistics (Jun 2022 – Present); Junior Data Analyst at Cedar Ridge Health Network (Jul 2020 – May 2022); Data Analytics Intern at Lakeshore State University, Office of Institutional Research (May 2019 – Aug 2019)
Years in dated roles: 6.7
Education: B.S. in Statistics (completed)
Certifications: Tableau Desktop Specialist, Google Data Analytics Professional Certificate
Quantified achievements: 4
On the résumé but not asked by this job: Healthcare, Reporting, Dashboards, SQL querying, Supply chain, Data warehousing, Forecasting, Data cleaning, Active Directory, Finance, Spreadsheets
Résumé terms the rules don't know: OH, Server, Network, Office, Access, NYC, Taxi Trip Analysis, Tableau Public, Harborline, Economics, Professional Certificate (matched by plain text only; tell us if one should be a skill)
Job description
Overview Manager, Data Science - AI Foundations Data 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, you’ll be part of a team that’s 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 Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s 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 One’s 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: - 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. - 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. - 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. - 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. - Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: - 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 it’s about making the right decision for our customers. - 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. - Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. - 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. - Technical. You’re 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. - 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. - 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. - 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. Basic Qualifications: - 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: - 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 - 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 - 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 - At least 1 year of experience leveraging open source programming languages for large scale data analysis - At least 1 year of experience working with machine learning - At least 1 year of experience utilizing relational databases Preferred Qualifications: - PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) - Experience working with AWS - At least 4 years’ experience in Python, Scala, or R - At least 4 years’ experience with machine learning - At least 4 years’ experience with SQL 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. McLean, VA: $197,300 - $225,100 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science San Jose, CA: $215,200 - $245,600 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 candidate’s 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 theCapital One Careers website. 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 City’s Fair Chance Act; Philadelphia’s 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 [email protected]. 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 [email protected] 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).