Principal Associate - Data Scientist, Marketing Analytics

In this role, you will: Build machine learning models through all phases of development, from design through training, validation, and deployment Help our business leaders make better decisions by conducting rigorous statistical analyses of various business strategies Partner with a cross‑functional team of data scientists, data engineers, software engineers, business analysts and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, R, Dask, SQL, AWS and more - to build and monitor models and deliver transformational insights from data The Ideal Candidate: Is technical. You have hands‑on experience developing data science solutions using open‑source packages. You’re comfortable with Python, SQL, command line, AWS, etc. and are passionate about developing these skill sets further. You are able to write well documented and efficient code that is production‑grade and that your team can leverage. You know how to work with messy data sources. Is statistically‑minded. You understand statistical concepts like sampling, bias, uncertainty, etc. and can reason using these principles. You know how to interpret the outputs of standard statistical models. You have experience with hypothesis testing, regression models, classification models and clustering. Has strong written and verbal communication skills. Your documentation clearly articulates your thinking and you can communicate results well to your peers and other technical and business leaders. Is a self‑starter and a creative problem solver. You take initiative, iterate quickly and know how to move past challenges. You address business problems using actionable analyses and data science solutions. Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date 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 relational databases Preferred Qualifications: Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Physics or related disciplines. At least 2 years of experience with Python or R, SQL and scripting At least 2 years of experience working with and analyzing large datasets At least 2 years of experience building, analyzing and deploying machine learning models 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. New York City (Hybrid On‑Site): $165,100 - $188,500 for Data Science PhD 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 will consider sponsoring a new qualified applicant for employment authorization for this position. 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. 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 (including pregnancy, childbirth or related medical conditions), 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. 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. #J-18808-Ljbffr Capital One Financial