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Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
Owns referral/virality analytics for HelloFresh’s global meal-kit brands, building dashboards and A/B tests to optimize customer acquisition and lifetime value from referral programs.
Build and deploy computer vision and generative AI models for retail applications like visual search, personalized recommendations, and fraud detection using PyTorch, diffusion models, and multimodal systems.
Lead a team building AI/ML models for pattern recognition, anomaly detection, and predictive analytics to support military decision-making and survivability in surveillance environments.
Senior Data Analyst builds and analyzes subscription-product metrics, runs A/B tests, and creates dashboards to improve customer acquisition, retention, and revenue for a global product-engineering firm.
A Senior Data Scientist at Spin Master builds scalable data products and analytics to drive growth for their subscription-based gaming and entertainment platform, using SQL, Python, and statistical tools to analyze user behavior, retention, and industry trends for cross-functional teams.
Lead end-to-end development of ML/AI models and statistical solutions to drive business decisions in a large CPG company, partnering with supply chain, marketing, and finance teams.
Senior Data Analyst at Salesforce builds semantic models and pipelines to measure Trailhead content performance, learner feedback, and business impact, enabling AI-driven insights for content owners and executives.
Lead a team of analysts and data scientists to drive data-driven decisions for Adobe Firefly’s generative AI products, using Python, SQL, and experimentation to shape strategy and roadmaps.
Designs and runs statistical studies to measure how DaVita’s kidney-care programs affect patient outcomes and costs, builds predictive models, and translates findings into actionable insights for clinicians and executives.
Build and deploy large-scale AI systems and autonomous agents using ML, NLP, and multi-agent orchestration at enterprise scale for Walmart’s global operations.
Analyze retail store performance and market opportunities to guide Apple’s global store investments using SQL, Python, and AI-driven analytics.
Principal Data Scientist builds and deploys large-scale AI systems, autonomous agents, and ML pipelines at Walmart, using PyTorch, LangChain, and multi-cloud platforms.
Angel is changing the future of entertainment and is one of the fastest-growing distributors. Our rapidly expanding library of light-amplifying stories has grown 10x in under 2 years. Gone is the old model where the…
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the…
Research and implement novel causal inference methods for treatment effect modeling in healthcare, using Python and PyTorch to build production-ready AI models.
Build and ship the intelligence layer that routes and optimizes LLM usage for developers, turning billions of model generations into product improvements and customer-facing analytics.
Builds and maintains a cloud-based platform for adaptive clinical trial design using Python, APIs, and AWS, integrating ML models to optimize drug development workflows.
Leads the Smart Care product squad to build AI-driven healthcare solutions that turn clinical and behavioral data into actionable insights, improving member outcomes and business value.
Senior Data Scientist at Epic Games in Cary, NC, building forecasting models and business insights for the Fortnite ecosystem using SQL, Python, and time series analysis.
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