VP Data Science: Top Recruiters in Los Angeles, California
The Los Angeles Technology & AI Market
Los Angeles' technology market combines the world's most advanced space technology (SpaceX, JPL) with massive entertainment technology (Snap, Riot Games, Activision) and an emerging enterprise software ecosystem, creating one of the nation's highest-compensation, most competitive technology executive markets.
About This Role
The VP of Data Science leads the team responsible for applying machine learning, statistical modeling, and advanced analytics to create competitive advantages for the business. This executive drives the data science roadmap, manages research and applied ML teams, and ensures data science investments translate into measurable business outcomes.
Key Responsibilities
- Lead data science organization including research, applied ML, and analytics engineering teams
- Define data science roadmap aligned with business priorities and translate it into measurable project portfolio
- Own model development, validation, and deployment lifecycle across the company's ML applications
- Drive experimentation culture through A/B testing, causal inference, and rigorous hypothesis testing
- Build relationships with academic institutions and research communities to stay at the frontier of ML developments
- Lead ML platform strategy in partnership with engineering to build scalable model training and serving infrastructure
- Manage model risk, bias evaluation, and responsible AI practices across deployed models
- Report data science impact through business metric improvements attributable to ML model deployments
- Hire and develop senior data scientists, ML researchers, and ML engineers
- Present data science strategy and outcomes to executive team and board in business value terms
Leading Employers in Los Angeles
The Technology & AI talent pool in Los Angeles is shaped by movement between these anchor employers and their tier-one supplier base:
Required Experience & Background
- 12+ years in data science or ML engineering with at least 5 years leading data science teams
- PhD or MS in Statistics, Mathematics, Computer Science, or quantitative field strongly preferred
- Demonstrated track record of deploying ML models that created measurable business value
- Deep technical expertise in ML methods: supervised learning, deep learning, NLP, computer vision, or reinforcement learning
- Experience with modern ML infrastructure: PyTorch/TensorFlow, MLflow, Kubeflow, or equivalent
- Strong executive communication skills
- Ability to present data science ROI to non-technical business leaders
Core Leadership Competencies
- ML Strategy: Ability to identify and prioritize ML use cases based on business impact and technical feasibility
- Research Leadership: Proven skill in managing data science teams balancing research and applied production work
- Experimentation Rigor: Deep commitment to rigorous hypothesis testing and causal attribution of model impact
- Technical Depth: Sufficient ML expertise to guide technical decisions and mentor senior researchers
- Business Linkage: Skill in translating data science outputs into clear business outcomes and financial value
Regulatory & Compliance Context
VP Data Science roles must ensure ML models comply with NIST AI Risk Management Framework, applicable fairness and bias regulations (ECOA, FHA for credit models; Equal Employment Opportunity regulations for HR models), GDPR/CCPA data minimization requirements in model training, and FDA guidance for AI/ML as Software as a Medical Device in healthcare contexts.
Compensation Benchmarks for Los Angeles, CA
Nexoval Search Partners' Approach in Los Angeles
Nexoval Search Partners's dedicated Technology & AI practice maintains active relationships with the executive talent community across Los Angeles and the broader California market. Our consultants conduct thorough market mapping of available passive and active candidates across the region's leading employers, from established industry leaders to innovative growth companies. Every engagement includes confidential outreach, rigorous competency-based assessment, and candidate presentation within 45 to 60 days of engagement launch. Nexoval Search Partners's retained search model and one-year replacement guarantee ensure every executive we place in Los Angeles, California delivers long-term organizational value.