Principal Data Scientist - Capital One : Job Details

Principal Data Scientist

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

The Community Impact and Investment team develops tools and insights to support our philanthropic investment and product decisions with data-driven understanding of the communities we serve. In addition to internal decision-making, we conduct research on community impact topics that often lead to externally published articles. Our team is constantly exploring creative approaches using secondary data sources to generate meaningful insights on relevant community impact issues.

• Partner with a cross-functional team of data scientists, software engineers, and business leaders to develop insights that drive community investments and financial well-being.

• Leverage a broad stack of technologies—Python, R, Conda, AWS, H2O, Spark, and more—to collect, clean, and analyze data from diverse sources.

• Develop and validate causal inference models to assess the social impact of internal community initiatives and relevant public programs.

• Solve data challenges creatively by sourcing and integrating alternative datasets, including government reports, survey data, and financial transaction data.

• Translate complex findings into clear, actionable recommendations for internal stakeholders and external partners.

• Mission-Driven. You're passionate about leveraging data to make a positive social impact and believe in using insights to drive better decision-making.

• Innovative. You stay on top of the latest research in causal inference, machine learning, and data collection methodologies—and love applying them to real-world problems.

• Creative. You thrive in ambiguity, enjoy tackling undefined problems, and love finding novel data sources to enrich analysis.

• Statistically-Minded. You have experience with causal inference methods (RCTs, regression discontinuity, propensity score matching, difference-in-differences) and know how to interpret results from statistical models.

• Technical. You're proficient in R and Python and comfortable working with large-scale datasets in cloud environments like AWS.

• A Data Guru. You know that great data science starts with understanding the data. You have experience retrieving, combining, and analyzing structured and unstructured data from various sources.

• Bachelor's Degree plus 5 years of experience in data analytics, or Master's Degree plus 3 years in data analytics, or PhD in a quantitative field

• At least 1 year of experience in open-source programming languages for large-scale data analysis.

• At least 1 year of experience with machine learning.

• At least 1 year of experience with research or data analysis.

• At least 1 year of experience with relational databases.

• Master's Degree in a STEM field (Science, Technology, Engineering, Mathematics) plus 3 years of experience in data analytics, or PhD in STEM

• At least 1 year of experience working with AWS.

• At least 3 years of experience in R, Python, or Scala.

• At least 3 years of experience with machine learning.

• At least 3 years of experience with SQL.

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 (Hybrid On-site): $158,600 - $181,000 for Princ Associate, Data ScienceChicago, IL (Hybrid On-site): $153,900 - $188,500 for Princ Associate, 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 the Capital 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, 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.