Capital One Senior Associate Data Scientist - Marketing Analytics 

United States, New York, New York 

971057327

11 West 19th Street (22008), United States of America, New York, New York Senior Associate, Data Scientist - Marketing Analytics

Team Description

with the objective of

Role Description

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

• 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

Basic Qualifications:

• Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD

• 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

New York City (Hybrid On-Site): $138,500 - $158,100 for Sr Assoc, Data Science

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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.