Principal Associate, Data Science - Model Risk Office

Capital One; Plano (TX); On-site; USD 147,100 - 167,900; Full time

Benefits offered by this job

Performance-based incentive compensation

Comprehensive health benefits

Job summary

Capital One is seeking a Principal Associate in Data Science located in Plano, TX. In this role, you will partner with data scientists, software engineers, and product managers to identify risks in models and utilize a broad stack of technologies including Python and AWS. You will lead teams in developing machine learning solutions and validate various models across business domains.

The ideal candidate has a strong background in data analytics, experience in machine learning, and is passionate about emerging technologies.

Qualifications

• 5 years of experience performing data analytics with a Bachelor's degree.
• 3 years of experience in data analytics with a Master's degree.
• Hands-on experience developing data science solutions.

Responsibilities

• Partner with a cross-functional team to identify and quantify risks.
• Lead teams to build machine learning models and validate them.
• Present model risks and impacts to executives.

Skills

Data analytics

Machine learning

Statistical analysis

Data visualization

AWS

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

PhD in a quantitative field

Tools

Python

SQL

R

Scala

H2O

Spark

Job description

Role Description

In this role, you will:

• Partner with a cross‑functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models.
• 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.
• Lead teams of data scientists who build machine learning models to challenge current champion models that are deployed in production and contribute to the model governance framework for the next generation of models.
• Lead validation of a wide variety of models across multiple business domains and present how identified model risks could impact the business to executives.

The Ideal Candidate is:

• Innovative. You continually research and evaluate emerging technologies, stay current on published state‑of‑the‑art methods, technologies, and applications, and seek opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems, love asking questions, and push hard to find answers. You’re not afraid to share a new idea.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• 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 and have experience with clustering, classification, sentiment analysis, time series, and deep learning.

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 5 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 plus 3 years of experience performing data analytics.
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field).

Preferred Qualifications

• Master’s Degree in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or a PhD in a STEM field.
• At least 1 year of experience working with AWS.
• At least 3 years’ experience in Python, Scala, or R.
• At least 3 years’ experience with machine learning.
• At least 3 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.

• Chicago, IL: $147,100 – $167,900 for Principal Associate, Data Science
• McLean, VA: $161,800 – $184,600 for Principal Associate, Data Science
• New York, NY: $176,500 – $201,400 for Principal Associate, Data Science
• Plano, TX: $147,100 – $167,900 for Principal 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. 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 qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.

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For technical support or questions about Capital One's recruiting process, please send an email to [e-mail].

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).