Principal Data Scientist

Volkswagen Group

. Lead data science product development and set standards, best practices, and innovation for the data science CoE .

Posted 9/15/2026full-timeRemote • California • United StatesLead💰 $131,600 - $224,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying machine learning solutions, with a strong focus on model evaluation, governance, and compliance. Proven ability to lead data science initiatives, mentor junior team members, and collaborate across business units to drive innovation and optimize strategies.

Highest-signal resume keywords

Machine Learning Model DevelopmentData Science LeadershipModel Evaluation and A/B TestingAI Solutions IntegrationCollaboration with Business Units

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisModel EvaluationAlgorithm DevelopmentData CurationModel Testing and TuningStatistical AnalysisData VisualizationCausal AnalysisGenAI

Soft Skills

MentorshipCommunicationCollaborationProblem-SolvingInnovation

Tools & Technologies

Data Science ToolsAnalytical ToolsMachine Learning FrameworksData Management SystemsVersion Control Systems

Industry Keywords

Data ScienceAI ModelsBusiness Decision-MakingGovernance RoutinesBias ComplianceE-VerifySubstance Abuse Testing

About the role

Key responsibilities & impact

Lead data science product development and set standards, best practices, and innovation for the data science CoE
Experiment with, build, and integrate data science solutions into core business processes and new opportunities
Define and continuously improve the machine learning environment
Develop and deploy AI models that impact business decisions
Establish best practices and governance routines for model management, peer reviews, privacy, ethics, and bias compliance
Bring relevant data science techniques, algorithms, and tools to the team
Provide technical oversight, assistance, and mentorship to junior data scientists
Apply model testing and tuning techniques to assess accuracy, fit, validity, and robustness
Innovate new ML methods and drive change throughout the business
Contribute to code documentation and maintain playbooks
Provide timely progress updates
Generate compelling hypotheses to drive new business creation
Collaborate with different business units to co-create solutions and optimize strategy

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Statistics, Economics, Engineering, Operations Research or similar quantitative field
Master’s degree in Computer Science, Statistics, Economics, Engineering, Operations Research or similar quantitative field
12+ years of data & analytics work experience with 8+ years in data science
7+ years utilizing methods and tools to extract, curate, explore, and analyze data from large data sources
7+ years developing, integrating and deploying machine learning solutions into business decision-making processes
7+ years leveraging algorithms, tuning parameters and back-testing validation
5+ years leading ML project development
Thorough knowledge of machine learning models, including traditional ML and GenAI
Extensive experience with model evaluation, A/B testing, and causal analysis
Experience researching new data sources and analytical tools, contributing to application development, and improving data quality
Ability to collaborate with product owners and managers to translate business requirements into scalable AI solutions
Ability to communicate technical ideas and results to non-technical users in written and verbal form
Participation in E-Verify and pre-employment substance abuse testing

Benefits

Comp & perks

Eligibility for annual performance bonus
Healthcare benefits
401(k), with company match
Defined contribution retirement program
Tuition reimbursement
Company lease car program
Paid time off