Principal Associate, Data Scientist - Recommendation & Personalization Systems

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title heading. Must not include Job ID etc. Must preserve all substantive info, no invention. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. We need to parse the posting. Content: - Intro paragraph about data, startup, etc. That's about the role? Could be "About the role". We'll put that as

About the role

then

...

. - Team Description: "Join an elite Applied AI team..." That's also about role/responsibilities? Could be part of responsibilities. We'll treat as part of responsibilities. - "In this role, you will:" then bullet list: Partner with..., Leverage..., Build..., Flex... That's responsibilities. - "The Ideal Candidate is:" then bullet list: Customer first, Innovative, Technical, A data guru. That's maybe Qualifications/Skills? Could be "Skills" or "Qualifications". The posting later has Basic Qualifications and Preferred Qualifications. So we should separate. - Basic Qualifications: list of degree + experience combos. - Preferred Qualifications: list. - Then salary info: Pay section. - Benefits: mention comprehensive benefits, link to learn more, etc. Also mention performance based incentive compensation. - Schedule: Not mentioned. No schedule info. So we should not include Schedule section. - Also mention "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's maybe part of Benefits? Could be part of Qualifications? It's about work authorization. Could be included in a short paragraph under Requirements? Might be considered as part of "Requirements". But we can include it in a short p under Requirements or Qualifications. Since it's not a qualification but a note. We'll include under Requirements maybe. - Also mention "This role is expected to accept applications for a minimum of 5 business days. No agencies please." That's application instruction, should be removed. - EEO etc boilerplate removed. - Also mention about criminal background, accommodation, etc. Those are legal boilerplate, remove. - Also mention about third-party products etc. Remove. Thus we need sections: About the role, Responsibilities, Requirements (maybe combine Basic Qualifications?), Qualifications (maybe Preferred?), Skills (maybe from Ideal Candidate?), Benefits, Pay. We need to avoid thin sections. Let's decide: - About the role: intro paragraph + Team Description maybe. - Responsibilities: the "In this role, you will:" bullet list. - Requirements: Basic Qualifications (the degree/experience combos). Also maybe note about work authorization sponsorship. - Qualifications: Preferred Qualifications. - Skills: The Ideal Candidate bullet list (Customer first, Innovative, Technical, A data guru). Could also include specific tech stack: Python, Conda, AWS, H2O, Spark, etc. That's from responsibilities bullet "Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more". That could be skills. But we already have skills from Ideal Candidate. Could combine. Better: Skills section: list of technologies and soft skills. But we must not create thin sections. Let's see if we have enough content for each. About the role: we have intro paragraph (approx 4-5 sentences) + Team Description (a few sentences). Good. Responsibilities: bullet list of 4 items. Requirements: Basic Qualifications list (3 items each with degree+experience). That's substantive. Qualifications: Preferred Qualifications list (5 items). Good. Skills: Could combine Ideal Candidate bullet list (4 items) plus tech stack mention. That's enough. Benefits: mention comprehensive benefits, performance based incentive compensation, learning more link. That's enough. Pay: salary ranges per location. Schedule: none -> omit. We must not include filler like "commensurate with experience". Not present. Now produce HTML. We need to use

for section headings. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must not repeat job title as heading. No markdown. We must output only HTML fragment. Let's craft. First, About the role:

  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.

  Then maybe Team Description as part of About the role? Could add another

  :

  Join an elite Applied AI team within AI Foundations, operating at the intersection of deep research and massive real-world impact. We are pioneering the next generation of personalized customer experiences across Capital One's web and mobile applications, leveraging our high-scale ML models. Our core mission involves architecting and deploying cutting-edge personalized recommendation engines. This is powered by original research into homegrown Foundation Models, advanced Reinforcement Learning techniques, and a state-of-the-art scalable architecture built for billions of interactions. Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems.

  That seems fine. Now Responsibilities:

  Responsibilities

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • 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
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals
  Now Requirements (Basic Qualifications):

  Requirements

  • 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 5 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 3 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)
  • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
  But note: we have nested lists; is that allowed? The rule: Use
  • for any list of duties/requirements/benefits. It didn't forbid nested lists. Could be okay. However we could flatten: each bullet as separate requirement. But the original text is a set of options. Could present as three separate bullets each describing the option. Let's do that. Thus:

    Requirements

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics (or in the process of obtaining the degree with expectation to obtain before start date)
    • 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 3 years of experience performing data analytics (or in the process of obtaining the degree with expectation to obtain before start date)
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) (or in the process of obtaining the degree with expectation to obtain before start date)
    • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
    We need to preserve the phrase "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:" We could incorporate that as a preceding

    . But we can incorporate into each bullet. Might be okay. Now Qualifications (Preferred):

    Preferred Qualifications

    • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field plus 3 years of experience in data analytics
    • At least 3 years of experience in Python, Scala, or R
    • At least 3 years of experience with machine learning
    • At least 3 years of experience with SQL
    • At least 1 year of experience working with AWS
    Now Skills: We have Ideal Candidate bullet list and also tech stack from responsibilities. Could combine.

    Skills

    • Customer first – passion for analyzing and creating while doing the right thing for customers
    • Innovative – continually researches and evaluates emerging technologies, stays current on state‑of‑the‑art methods
    • Technical – comfortable with open‑source languages, passionate about developing further, hands‑on experience with data science solutions using open‑source tools and cloud platforms
    • A data guru – able to retrieve, combine, and analyze data from varied sources and structures; understands that knowing the data is key to great data science
    • Proficient with a broad technology stack: Python, Conda, AWS, H2O, Spark, and related tools
    Now Benefits:

    Benefits

    • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well‑being
    • Eligibility for performance‑based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
    • Learn more about benefits at the Capital One Careers website
    Now Pay:

    Pay

    • McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science
    • New York, NY: $176,500 - $201,400 for Princ Associate, Data Science
    • San Jose, CA: $176,500 - $201,400 for Princ Associate, Data Science
    • Candidates hired to work in other locations will be subject to the pay range associated with that location; the actual annualized salary offered will be reflected in the offer letter
    We should not include "Salaries for part-time roles will be prorated..." because that's generic but still substantive? It's about pay. Could include but it's not location-specific. Might be okay to include as a bullet. However the instruction: "Prefer a few substantive sections over many thin ones." This bullet is not thin but could be included. Let's include. Add bullet: "Salaries for part-time roles will be prorated based upon the