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Lead AI/ML teams to build ad-tech algorithms (bid prediction, yield optimization, fraud detection) that maximize publisher revenue and advertiser performance using Python, TensorFlow, and real-time MLOps on cloud platforms.
Senior Analyst driving ARPU and expansion analytics at a health-tech SaaS company, using SQL, Python, Snowflake, and DBT to model monetization, run pricing A/B tests, and build cross-sell/upsell frameworks.
Builds and analyzes ML models and experiments to guide product decisions using SQL, Python/R, and AI tools.
Senior data scientist at a healthcare marketplace, leading experimentation and causal analysis to shape product, growth, and monetization strategies using SQL, Python, and generative AI tools.
Lead a team of data scientists to analyze and improve Zocdoc's provider-facing products, using SQL, Python/R, and generative AI to drive product strategy and business decisions in healthcare.
Lead the design and execution of Zocdoc’s marketing measurement strategy, building models to allocate resources across patient and provider marketing using advanced analytics like MMM, MTA, and incrementality testing.
Staff Data Scientist shaping an enterprise-scale experimentation platform—defining standards, tooling, and product direction at the intersection of causal inference, statistics, and platform engineering using Python and SQL.
The GrabX team is seeking a backend software engineer to build and maintain a high-scale experimentation platform using Go, Scala, Java, or C++. You will develop microservices, optimize database performance, and manage cloud infrastructure to support A/B testing and data-driven decision-making across Grab's marketplaces.
The Senior Data Scientist will build machine learning models and perform causal analysis to understand customer value, behavior, and segmentation for client engagements. The role requires strong Python and SQL skills to translate complex data into actionable business recommendations.
The Lead Data Scientist will define evaluation frameworks and measurement strategies for Strava's AI-driven data products. This role involves partnering with machine learning engineers to ensure model quality and performance across the platform.
Leads soccer analytics/data science projects for Major League Soccer, using player/competition data to inform strategic decisions and improve the league’s sporting product. Combines technical expertise (SQL, Python, ML) with deep soccer knowledge to advise stakeholders and develop data-driven recommendations.
The Associate Director of Data Science leads a team in developing and deploying scalable AI solutions, including predictive analytics and Generative AI, within the insurance sector. This role combines strategic leadership, technical guidance, and cross-functional partnership to drive business adoption of AI products.
Senior Data Scientist at PwC's Data & Analytics Advisory practice, leading development of advanced ML and statistical models for healthcare clients using Python, deep learning, transformers, and graph neural networks.
Senior Data Scientist in PwC's Advisory practice leading ML and statistical model development for healthcare clients, leveraging deep learning, NLP/Transformers, and graph-based ML to solve complex business problems.
Staff Data Scientist leading homeowners insurance pricing and risk modeling at Porch Group, building and deploying GLM and ML models (Python, SQL, BigQuery/GCP) for underwriting, profitability, and retention.
Analyzes vehicle telemetry, fleet data, and customer behavior to define KPIs, evaluate AV/ADAS performance, and inform product strategy for GM’s autonomous driving systems.
Leads data science strategy for The Home Depot’s marketing and retail media teams, driving customer acquisition, personalization, and revenue growth via advanced analytics, ML, and AI. Oversees team of data scientists, defines metrics, and collaborates cross-functionally to optimize marketing performance and ROI.
Lead the modeling strategy and analytic architecture for telemetry and log analytics at Dell, focusing on time-series and event-based data across batch and streaming systems. Design models for anomaly detection, forecasting, and NLP on unstructured logs using Python, SQL, and observability ecosystems.
Job Classification: Data Science & Analytics - Data Science & Analytics The Director of Marketing Effectiveness & Measurement owns the design, build, and operation of next-generation measurement…
The SEO Data Scientist will analyze large-scale data to influence eBay's SEO product roadmap and strategy. The role involves designing A/B tests, building predictive models, and partnering with cross-functional teams to improve marketplace performance.
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