Senior Associate, Data Scientist - Commercial Bank Strategy & Analytics

Capital One; McLean (VA); On-site; USD 135,600 - 154,800; Full time

Benefits offered by this job

Performance-based incentives

Job summary

Capital One is seeking a Senior Associate, Data Scientist for Commercial Bank Strategy & Analytics in McLean, VA. The role focuses on building data-driven insights using Python, AWS, and open-source tools to inform decisions across a $100B+ loan portfolio.

You will collaborate across data scientists, engineers, and product managers to deliver high-impact ML solutions. The ideal candidate is innovative, technically adept, and experienced with clustering, classification, time series, sentiment

Qualifications

• A Bachelor's Degree in a quantitative field plus 2 years of data analytics experience; or
• A Master's Degree in a quantitative field (or MBA with quantitative concentration) with relevant experience; and

Responsibilities

• 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 insights from large volumes of numeric and textual data.
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals and outcomes.

Skills

Python

AWS

H2O

Spark

Conda

Machine learning

SQL

Education

Bachelor's degree in a quantitative field

Master's degree in STEM or MBA with quantitative concentration

Tools

Spark

H2O

Conda

Job description

Overview

Senior Associate, Data Scientist - Commercial Bank Strategy & Analytics. Data is at the center of everything we do. As a data-driven organization, Capital One uses statistical modeling and advanced technology to inform decision making across billions of customer records.

Capital One’s Commercial Bank Team manages a $100B+ loan portfolio across Corporate & Industrial, Commercial Real Estate, and Structured Finance Products. The team solves a diverse set of problems using a mix of business thinking and quantitative tools, including open source programming and cloud computing to predict outcomes on large datasets.

Responsibilities

• 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 insights from large volumes of numeric and textual data.
• Build machine learning models through all phases of development: design, training, evaluation, validation, and implementation.
• Translate complex technical work into tangible business goals and outcomes.

Ideal Candidate

• Innovative: stays current on emerging technologies and seeks opportunities to apply state-of-the-art methods and tools.
• Creative: thrives on solving undefined problems and is willing to share new ideas.
• Technical: comfortable with open-source languages and experienced in developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded: has built, validated, and backtested models; understands interpretations such as confusion matrices and ROC curves; experience with clustering, classification, sentiment analysis, time series, and deep learning.
• A data guru: adept at retrieving, merging, and analyzing data from diverse sources and structures; emphasizes understanding the data as key to great data science.

Qualifications

Basic Qualifications

• A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 2 years of data analytics experience; or
• A Master's Degree in a quantitative field (or MBA with quantitative concentration) with relevant experience; and

Preferred Qualifications

• Master’s Degree in STEM or PhD in STEM fields.
• Experience working with AWS.
• At least 2 years of experience in Python, machine learning, and SQL.

Compensation and Benefits

• Capital One will consider sponsoring qualified applicants for employment authorization where applicable.
• The salary ranges are location-based: McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science; New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science. Other locations receive the pay range associated with that location. Salaries for part-time roles will be prorated.
• This role is eligible for performance-based incentives (cash bonuses and/or long-term incentives) as part of the compensation.
• Capital One offers health, financial, and other benefits. Details at Capital One Careers. Eligibility varies by status and level.

Capital One is an equal opportunity employer (EOE) committed to non-discrimination in compliance with applicable laws. Capital One maintains a drug-free workplace and may conduct background inquiries as required by law. For accommodations in the application process, contact Recruiting at 1-800-304-9102 or [e-mail]. All information provided will be kept confidential to provide required accommodations. Capital One does not endorse third-party products or services found through this site. Capital One Financial encompasses multiple entities and postings may refer to Capital One Canada/Europe/Philippines where applicable.