Manager, Data Scientist – Optimization

Capital One

. Work with Product Managers and Business Analysts to design in-market experiments and validate assumptions before full-scale development .

Posted 11/4/2026full-timeUnited StatesMid-LevelSenior💰 $197,300 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing optimization models and machine learning algorithms, with a strong focus on data analytics and integration into software systems. Proficient in using programming languages such as Python for large-scale data analysis and optimization.

Highest-signal resume keywords

Python ProgrammingMachine LearningNumerical OptimizationRelational DatabasesAWS Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsOptimization ModelsLinear ProgrammingMixed-Integer ProgrammingNon-Linear ProgrammingHeuristic OptimizationSimulation ModelsTime-Series ModelsOpen Source ProgrammingData Science Solutions

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Commercial SolversOpen-Source Solvers

Industry Keywords

Data AnalysisBusiness OutcomesDecision SystemsExperimental FrameworksEmerging Technologies

Tech Stack

Tools & technologies

AWSOpen SourcePythonScala

About the role

Key responsibilities & impact

Work with Product Managers and Business Analysts to design in-market experiments and validate assumptions before full-scale development
Translate ambiguous business challenges into structured mathematical problems
Design and implement linear, mixed-integer, non-linear, and heuristic optimization models
Develop, test, and deploy production-grade optimization algorithms and simulation models using Python and commercial/open-source solvers
Partner with Product, Engineering, and Business teams to integrate optimization engines into existing software systems and workflows
Build machine learning models through design, training, evaluation, validation, and implementation
Optimize customer experience funnels and risk policies
Evaluate external data and institutionalize closed-loop experimental frameworks
Research and evaluate emerging technologies and apply state-of-the-art methods to data science solutions

Requirements

What you’ll need

Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years of experience in data analytics, or PhD plus 1 year of experience in data analytics
At least 2 years’ experience in open source programming languages for large scale data analysis
At least 2 years’ experience with machine learning
At least 2 years’ experience with relational databases
PhD in STEM field preferred, plus 2 years of experience in data analytics
At least 1 year of experience working with AWS preferred
At least 4 years’ experience in Python, Scala, or R for large scale data analysis preferred
At least 4 years’ experience with machine learning preferred
Experience using numerical optimization to solve business problems preferred
Experience with linear, non-linear, and integer programming techniques and software packages preferred
Track record of optimizing business outcomes and decision systems preferred
Experience formulating business problems involving complex data, models, and policy rules preferred
Working experience with time-series models preferred
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Employment authorization sponsorship may be considered for a new qualified applicant