Senior 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. We must not repeat job title. Must not include Job ID etc. Must preserve all substantive info, no summarizing away detail. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. We need to parse the posting. Let's extract content: First paragraph: "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." That's about the role. Could be "About the role". Next: "Team Description: 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's also about the role/team description. Could be part of About the role. Then: "In this role, you will:" followed by bullet list: - 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 These are responsibilities. Then: "The Ideal Candidate is:" with bullet points: - 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. - Technical. You’re 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. - A data guru. “Big data” doesn’t 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. These could be Requirements or Qualifications. The posting later has "Basic Qualifications:" and "Preferred Qualifications:". Thus we need sections: Responsibilities, Requirements (maybe Basic Qualifications), Qualifications (Preferred), Skills (maybe technologies), Benefits, Pay, Schedule. We need to include only sections with real specific content. Let's extract Basic Qualifications: "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 2 years of experience performing data analyticsA 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" We need to preserve that exactly. Preferred Qualifications: "Preferred Qualifications: Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)Experience working with AWSAt least 2 years of experience in Python, Scala, or RAt least 2 years of experience with machine learningAt least 2 years of experience with SQL" We need to preserve. Also there is a line: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That's maybe part of Benefits? It's about sponsorship. Could be part of Benefits or maybe a note. But we need to include Benefits section only if posting actually states them. There's later: "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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." That's benefits description. So we can include Benefits section with that content. Pay: The posting includes salary ranges per location. That's specific. So we need Pay section with those details. Schedule: Not mentioned explicitly. There's "This role is expected to accept applications for a minimum of 5 business days." That's about application period, not schedule. No schedule info like full-time/part-time? It mentions full-time annual salaries, part-time roles prorated. But no explicit schedule like "Full-time". Could infer but we should not invent. So we should not include Schedule section unless explicit. There's no explicit schedule like "Full-time" or "Part-time". So we omit Schedule. Now we need to decide sections: About the role, Responsibilities, Requirements (Basic Qualifications), Qualifications (Preferred), Skills (maybe technologies stack), Benefits, Pay. We must not repeat job title. Use

for section headings. We need to use

• for any list of duties/requirements/benefits, and

  for prose. We need to preserve all substantive information; do not invent or summarize away detail. So we must keep the exact wording? Probably we can keep the substance but not necessarily verbatim? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." Means we should not omit details, but we can rephrase? Safer to keep the original sentences but maybe break into list items. We need to avoid boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. We must remove lines like "Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination..." etc. Also remove "No agencies please." etc. Also remove "Learn more at the Capital One Careers website."? That's part of benefits description maybe okay but it's a link suggestion; but it's not boilerplate? It's still part of benefits. Might keep. We also need to remove duplicated lines. Let's extract sections. **About the role**: Combine first paragraph and Team Description. We can produce a

  containing both paragraphs. **Responsibilities**: The bullet list after "In this role, you will:" each bullet as

• . **Requirements**: Basic Qualifications. Could be a

  containing the two options. Or we could make a

  with two items: Bachelor's... plus 2 years experience; Master's... or MBA... We need to preserve the detail. The text: "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 2 years of experience performing data analyticsA 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" We need to keep 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:" then list items. We'll format as

  for intro then

  • for each. **Qualifications**: Preferred Qualifications. Similar: "Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)Experience working with AWSAt least 2 years of experience in Python, Scala, or RAt least 2 years of experience with machine learningAt least 2 years of experience with SQL" We can split into list items. **Skills**: Could be the stack of technologies mentioned in responsibilities: Python, Conda, AWS, H2O, Spark, and more. But that's already in responsibilities. Could also include open-source languages, cloud computing platforms. But we might not need a separate Skills section if we already covered in responsibilities. However the instruction: "Prefer a few substantive sections over many thin ones." So maybe we can omit Skills if responsibilities already cover. But we need to include sections only when posting has real specific content for it. The posting does mention specific technologies in responsibilities; we could keep them there. So we may not need a separate Skills section. **Benefits**: The paragraph: "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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level." Also earlier: "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position." That could be part of benefits (visa sponsorship). Also "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." That's also benefits/compensation. So we should include that. Thus Benefits section will contain multiple paragraphs/lists. We need to avoid boilerplate like "Learn more at the Capital One Careers website." It's not boilerplate but it's a generic line; still it's part of benefits description. We'll keep. **Pay**: The salary ranges per location plus note about other locations, incentive compensation. We'll keep. Now we must not include sections like "Schedule". No schedule info. Now we need to output only HTML fragment, no /, no markdown fences. Let's construct. We'll start with

    About the role

    then

    ...

    . We need to ensure we don't duplicate content. Let's write About the role paragraph: "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: 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 home