Senior Associate, Data Scientist - People Strategy & AnalyticsCapital One • Virginia, Minnesota, United States
Senior Associate, Data Scientist - People Strategy & Analytics
Capital One
- Virginia, Minnesota, United States
- Virginia, Minnesota, United States
Über
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
People Strategy & Analytics brings data, analytics, and insights to shape critical talent decisions and strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real‑time data, and improving talent decision‑making. The team is comprised of people with diverse skills and backgrounds including: data analysts, data scientists, business analysts, HR specialists, project managers, and industrial/organizational psychologists. Role Description
In this role, you will: Support development of natural language processing and machine learning models through all phases, from design through training, evaluation, validation, and implementation. Apply expertise in using open source large language models (LLMs) through prompt engineering, retrieval‑augmented generation (RAG) and evaluation metric frameworks for business specific applications. Partner with a cross‑functional team of data scientists, software engineers, business analysts, and product managers to deliver industry‑leading HR tools and AI‑powered products. Leverage a broad stack of technologies – Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, PyTorch/TensorFlow, and more – to reveal the insights hidden within large volumes of numeric and textual data. Flex your interpersonal skills to collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes. Ideal Candidate
Passionate about human capital: excited by the value we can add to our company and our associates, and inspired to make a large positive impact. Innovative: continually researches and evaluates emerging technologies, stays current on published state‑of‑the‑art methods, technologies, and applications and seeks out opportunities to apply them. Creative: thrives on bringing definition to big, undefined problems, loves asking questions, and pushes hard to find answers. Technical: comfortable with open‑source languages and passionate about developing further, with hands‑on experience building data science solutions using open‑source tools and cloud computing platforms. Statistically‑minded: built models, validated them, and backtested them; knows how to interpret a confusion matrix or a ROC curve; has experience with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications
Currently has, or is in the process of obtaining, 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. 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. Preferred Qualifications
Master’s or PhD in a STEM field (Science, Technology, Engineering, or Mathematics). Experience working with AWS. At least 2 years’ experience in Python. At least 2 years’ experience with machine learning. At least 2 years’ experience with SQL. At least 1 year experience with relational databases such as Snowflake. At least 1 year experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs, or PyTorch/TensorFlow. Additional Information
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Salary information is listed by location. For McLean, VA, the range is $135,600 – $154,800 per year. Compensation also includes performance‑based incentive compensation. Benefits include a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Eligibility varies based on full‑time or part‑time status, exempt or non‑exempt status, and management level. Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws and regulations.
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Sprachkenntnisse
- English
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