Senior Associate, Data Scientist - Beyond AML Modeling & Innovations

Information Technology Senior Management Forum; McLean (VA); On-site; USD 136,000 - 155,000; Full time

Benefits offered by this job

Health benefits

Performance-based incentives

Job summary

Capital One is seeking a Senior Associate, Data Scientist for the Beyond AML Modeling & Innovations team in McLean, VA. You will build and deploy ML models across large datasets, collaborating with data scientists, software engineers, and product managers to deliver impactful solutions.

The ideal candidate has 2+ years in data analytics or a Master’s in a quantitative field, strong Python/Scala/R and SQL skills, and hands-on experience with cloud platforms such as AWS and Spark.

Qualifications

• Bachelor's Degree in a quantitative field plus 2 years of data analytics experience or
• Master's Degree in a quantitative field or MBA with a quantitative concentration

Responsibilities

• Partner with cross-functional teams to deliver data products loved by customers.
• Leverage Python, Conda, AWS, H2O, Spark to uncover insights from large datasets.
• Build ML models through all development phases from design to deployment.
• Translate complex work into tangible business outcomes.

Skills

Python

Scala

R

SQL

AWS

Machine learning

NLP

Data analysis

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field or MBA with a quantitative concentration

Tools

Conda

H2O

Spark

Job description

Senior Associate, Data Scientist - Beyond AML Modeling & Innovations

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 is 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 Beyond AML Modeling & Innovations (BAMI) team within the Enterprise Risk Organization leverages AI to modernize and transform how we assess risk. We are a small but mighty team of data scientists and business analysts who partner closely with stakeholders to design and deploy innovative solutions. In this role, you will have the opportunity to drive a variety of 0-to-1 projects, utilizing traditional machine learning, natural language processing, graph-based modeling, and Generative AI and more to solve novel, complex challenges. You will have the opportunity to leverage your creativity and business sense in combination with technical skills to build holistic solutions that can address the heart of our stakeholder's pain points.

Role Description

In this role, you will:

• 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 the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
• Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
• A data guru. 'Big data' doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • 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
  • A 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 Degree in 'STEM' field (Science, Technology, Engineering, or Mathematics), or PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics)
• Experience working with AWS
• At least 2 years' experience in Python, Scala, or R
• At least 2 years' experience with machine learning
• At least 2 years' experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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: $135,600 - $154,800 for Sr Assoc, Data ScienceRichmond, VA: $123,300 - $140,700 for Sr Assoc, 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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.

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 [e-mail]