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Build predictive models to optimize debt recovery by prioritizing contacts, timing, and channels, working with Product and Engineering to deploy solutions in a large-scale operation.
Develop AI/ML models to predict and optimize bead designs for proteomics workflows and diagnostic assays, bridging data science with wet-lab R&D at a global life-science tools company.
Build and deploy ML models for business decisions and optimize AI agentic systems like conversational tools, using Python, SQL, and libraries such as PyTorch.
Designs and deploys production AI solutions, including LLMs and RAG pipelines, using Azure and Python to drive measurable business value across enterprise workflows.
Data Scientist in financial services building ML solutions that go into production, working on a Data Platform and MLOps capability. Responsibilities include building, testing, and evaluating machine learning models using Python and SQL.
A data scientist in early oncology R&D analyzes large-scale biological datasets (e.g., biobanks, genomics) to identify therapeutic targets, biomarkers, and immune system aging patterns using Python/R, ML, and statistical genetics.
Builds statistical models, custom tools, and dashboards using Python, Power BI, and VBA to analyze military readiness data and automate workflows for the Marine Corps Air Station.
Lead a team building AI-powered fraud detection and dispute-resolution models for Visa’s global payment platform, using Python, LLMs, and ML techniques to enhance security and operational efficiency.
Leads data-science projects and builds robust ML pipelines to enhance fintech systems, mentors junior engineers, and drives strategic improvements in financial technology products.
Build geospatial ML models to optimize final-mile delivery routes, reduce costs, and improve customer/driver experience using GPS, traffic, and routing data.
Lead end-to-end data science projects at Zillow using advanced analytics, machine learning (Python, R, SQL), and experimentation frameworks to improve real estate products and customer experiences, working remotely across the US.
Lead data science projects for a healthcare insurer, building predictive models and AI agents to detect fraud and inform policy decisions using Python, R, and Snowflake.
A Senior Data Scientist at Caesars Entertainment's Sportsbook team designs and deploys predictive and pricing models for real-time odds and risk management, using Python and machine learning to analyze sports data and collaborate with trading and engineering teams.
Leads a data science team to build AI-driven systems for Amazon’s customer service network, blending causal inference, workforce strategy, and real-time observability to optimize routing, capacity planning, and human-AI collaboration across automation and human-assisted channels.
Postdoctoral Fellow in Imaging Data Science develops and applies advanced MRI techniques and deep learning for preclinical brain research, analyzing data and publishing findings in a multidisciplinary lab.
Manage a team of data scientists building predictive models and analytics for long-term care insurance using Python, SQL, and cloud tools to drive business strategy.
Build and validate statistical models for deposit pricing, customer retention, fraud risk, and marketing performance to support a digital banking transformation program.
Develop and maintain software or data science solutions for U.S. government mission-critical projects using Java, Python, AWS, and AI/ML in an Agile environment.
Lead the design and deployment of advanced AI/ML models and statistical solutions for government missions, working on-site to extract insights from complex datasets using Python, R, and SQL.
Build and deploy AI/ML models and data pipelines to extract insights from structured and unstructured data for government clients, using Python, SQL, and visualization tools.
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