Director of Data Science leading technical data science initiatives for advertising products at Mastercard. Overseeing ML strategy, model deployment, and team collaboration in the Commerce Media platform.
SF
Hybrid Director, Data Science
Posted 2 hours ago
About the role
- Principal Data Scientist at Fidelity driving AI/ML innovations and solutions for financial growth. Collaborating cross-functionally to design and deploy advanced analytics and AI technology.
Responsibilities
- Design and deploy state-of-the-art AI and ML solutions to accelerate FI business growth with production reliability and scalability as primary considerations
- Develop and optimize Large Language Model (LLM) applications for business use cases that integrate seamlessly into existing systems
- Implement context engineering strategies and prompt optimization techniques
- Build and maintain Retrieval-Augmented Generation (RAG) systems for semantic search and knowledge retrieval
- Research and prototype emerging AI techniques, always evaluating for production viability and system-wide impact
- Analyze and anticipate how AI implementations affect upstream and downstream systems, data flows, and user experiences
- Design solutions considering scalability, maintainability, observability, and failure modes from the outset
- Collaborate with platform, infrastructure, and application teams to ensure seamless integration
- Document system dependencies, data lineage, and architectural decisions for long-term maintainability
- Collaborate closely with business stakeholders to deeply understand challenges and translate them into technical solutions
- Define and monitor AI performance metrics aligned with business KPIs
- Balance innovation with pragmatism—prioritizing solutions that deliver measurable business value
- Design and implement robust ETL pipelines for both structured and unstructured data
- Build scalable data infrastructure supporting real-time and batch processing needs
- Perform exploratory data analysis to uncover insights and improvement opportunities
- Ensure data quality, governance, and security best practices
- Deploy and manage AI/ML models in cloud environments (AWS) with production SLAs in mind
- Establish monitoring systems for model performance, drift detection, and system health
- Optimize model serving infrastructure for latency, throughput, and cost
- Implement MLOps best practices for continuous integration and deployment
- Build with observability, debugging, and incident response capabilities from the start
Requirements
- Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
- 8+ years of AI development experience with proven AI/ML project delivery in production environments
- Demonstrated ability to manage multiple concurrent projects in fast-paced environments
- Ability to pick up new knowledge fast and passionate about continuous learning
- Deep Technical Skills: LLM & Modern AI: Hands-on experience with Large Language Models, prompt engineering, context optimization, and fine-tuning techniques
- AI/ML Engineering: Expert knowledge of statistical models, predictive modeling, time series analysis (regression, classification, clustering, dimension reduction)
- Agentic AI frameworks (multi‑agent orchestration, tool‑use planning, evaluator agents, workflow agents)
- Model alignment, guardrails, safety tuning, hallucination mitigation
- Programming: Advanced proficiency in Python with object-oriented and functional programming paradigms
- Broad Cross-Functional Skills: Business Acumen: Ability to understand financial services domain and translate business needs into technical solutions
- Data Engineering: Production experience with ETL pipeline tools (Airflow, dbt) and big data technologies (Snowflake)
- Deployment & MLOps: Experience deploying and managing applications in cloud environments (AWS preferred)
Benefits
- comprehensive health care coverage and emotional well-being support
- market-leading retirement
- generous paid time off and parental leave
- charitable giving employee match program
- educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
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