Principal Data Scientist - AI Foundations, Specialist Models

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jobleadsusMcLean (VA)

Data Scientists Computer Systems Design Services

SENIORITY

Lead

SALARY

$161,800 - $184,600 per year

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About the role

The Principal Data Scientist will join the AI for Data team to build and ship machine learning solutions that support the enterprise data lifecycle. This role involves end-to-end model development, cross-team collaboration, and translating technical work into business goals. Location McLean, VA(onsite) Compensation USD 161,800 - 184,600per year

Role Summary: This Principal Data Scientist position on the AI for Data team focuses on delivering state-of-the-art machine learning solutions. Work includes partnering across teams, developing machine learning models from design through implementation, and aligning technical complexity to enterprise business objectives.

Responsibilities:

Collaborate with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-facing products
Apply a broad technology stack, including
Python , Conda , AWS , H2O , Spark, and more, to extract insights from large volumes of numeric and textual data
Develop machine learning models across the full lifecycle, including design, training, evaluation, validation, and implementation
Use interpersonal skills to translate model complexity into tangible business goals

Team Overview:

The AI for Data team builds and ships state-of-the-art machine learning solutions to support data lifecycle across the enterprise
Partners with product, tech, and design teams to deliver personalized experiences for data and platform users, with the goal of driving productivity and innovation
Leads experimentation and innovation to create next generation experiences using emerging ML technologies
Technology StackPython, Conda, AWS, H2O, Spark, Scala, R, SQLMinimum Qualifications

Minimum experience: 5 years

Degree and experience options (with the expectation the required degree will be obtained on or before the scheduled start date):ABachelor's Degreein a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus5 yearsof experience performing data analyticsAMaster's Degreein a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or anMBA with a quantitative concentrationplus3 yearsof experience performing data analyticsAPhDin 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), or PhD in a "STEM" field
Experience working with AWSAt least 3 years' experience inPython , Scala, orRAt least 3 years' experience with machine learning
At least 3 years' experience withSQLAdditional Competency Profile

Innovative: Continually evaluates emerging technologies and seeks opportunities to apply state-of-the-art methods Creative: Works on defining solutions for big, undefined problems and shares new ideas Technical: Uses open-source languages and has hands-on experience building data science solutions with open-source tools and cloud computing platforms Statistically-minded: Builds, validates, and back-tests models; interprets outputs such as a confusion matrix or ROC curve; has experience with clustering, classification, sentiment analysis, time series, and deep learning Data-focused: Retrieves, combines, and analyzes data from varied sources and structures Other Compensation and Incentives Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI) Incentives may be discretionary or non-discretionary depending on the plan Application Timeline and Statements Expected to accept applications for a minimum of5 business days No agencies please. Capital One is an equal opportunity employer (EOE), including disability and veteran status, committed to non-discrimination Capital One promotes a drug-free workplace Capital One may consider sponsoring a new qualified applicant for employment authorization for this position For technical support or questions about the recruiting process: Careers@capitalone.comCapital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information on this site

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