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Principal Data Scientist at AWS leading multi-year AI/ML analytics strategy to drive product growth across Compute, GenAI, Database, and Storage services.
Lead data-science strategy for drug development, applying AI/ML and advanced analytics to clinical, omics, and imaging data to inform trial design and precision-medicine decisions.
Build and deploy ML models and AI solutions to power data products for a global footwear retailer, using Python, LLMs, and cloud tools.
Senior data analyst builds and deploys retail analytics models (demand forecasting, inventory, pricing) for enterprise clients, translating business questions into production-grade solutions using SQL, Python, and cloud platforms like Snowflake or Databricks.
Evaluate AI-generated ML models and data science solutions for accuracy, applying machine learning, statistical modeling, and Python/SQL to improve AI reasoning and performance.
Evaluate AI-generated data science solutions, models, and analyses for accuracy and reasoning quality, providing technical feedback to improve next-gen AI systems.
Build and deploy end-to-end ML models and AI services (LLMs, simulations, digital twins) using Python, TensorFlow/PyTorch, Docker/Kubernetes, and MLOps tooling in a DevOps environment.
Build and analyze metrics for AI agents that automate enterprise workflows, running A/B tests and deep dives to link model changes to real-world outcomes.
Lead a team that runs high-velocity experiments across creator-media content and commercial bets to learn faster than competitors, using rigorous hypothesis testing and statistical rigor.
Design and maintain scalable data pipelines using SparkSQL and PySpark to transform IoT device and product data into analytics-ready tables for dashboards, ML training, and causal inference at a cloud platform for physical operations.
Roles & Responsibilities Translate approved business questions into testable hypotheses sized at one to three days with clear exit criteria and confidence levels. Design and execute analytical methods including…
Build and deploy large-scale ML models that power real-time ad bidding and commerce media systems, optimizing relevance and ROI for global advertisers and publishers.
Staff Data Scientist partners with advertisers and cross-functional teams to maximize AI-powered ad platform performance, translating customer needs into product strategy and scalable activation frameworks.
Builds AI-driven financial models and predictive analytics to guide strategic decisions, using Python, LLMs, and cloud tools like Azure ML.
Build and scale production-grade forecasting models (time-series, ML) to predict DAU, revenue, compute load, and profitability, then translate insights into strategic decisions for OpenAI’s AI products.
Analyzes operational data to improve turnaround time in Hover’s AI-powered property-scan pipeline, using statistical modeling and cross-functional collaboration to drive efficiency.
Staff Data Scientist builds predictive models and analytics to optimize Salesforce’s AI-powered CRM and GTM strategy, using SQL, Python, and distributed data platforms.
Lead Polymarket’s embedded analytics team to turn data into decisions across growth, product, markets, and finance, shaping strategy and measuring impact in a fast-moving prediction market platform.
Own full-funnel growth analytics for a crypto prediction market vertical, partnering with marketing to optimize spend and user conversion from acquisition to retention.
Build and own the financial reporting layer for a crypto prediction market, reconciling on-chain trading data with general ledger entries to produce clean, trustworthy financial reports for finance and leadership.
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