Develops and deploys predictive ML models for customer segmentation, churn prediction, and lifetime value optimization, collaborating with engineering teams to operationalize insights.

Owns end-to-end data pipelines and analytics models, building production-grade data infrastructure that powers business decision-making across utility services.

Analyzes fraud escalations, investigates suspicious accounts, identifies anomalies in large datasets, and prepares reports on fraud trends to prevent financial loss.

Owns complete data-to-insight value chain by building production-grade data pipelines, analytics models, and automated dashboards using SQL, BigQuery, and Looker to drive business decisions.

Analyzes energy retail data and business requirements to optimize commercial performance, translating regulatory changes and stakeholder needs into actionable insights.

Analyzes energy portfolio data using SQL, Python, and Tableau to optimize costs, identify trends, and support product development decisions.

Analyzes energy portfolio data using SQL, Python, and Tableau to optimize costs, identify trends, and support product development decisions.

Build data systems and analytics that drive GTM strategy, including ICP models, RevOps automation, and integrations across the sales stack using SQL, Python, and modern data tools.

Embeds with product teams to conduct quantitative research, design experiments, and analyze marketplace data to inform pricing, matching, and demand fulfillment models.

Conducts quantitative research, designs experiments, and analyzes marketplace data to inform product decisions and optimize pricing/matching models.

Analyzes business systems and user impact across global teams, gathering requirements, conducting A/B testing, and recommending data-driven solutions to stakeholders.

Analyzes healthcare claims and patient data to demonstrate clinical program impact, supports strategic decisions, and delivers insights to clinical and commercial teams.

Analyzes healthcare claims and patient data to demonstrate clinical program impact and support strategic business decisions at a virtual women's health clinic.

Data Scientist II analyzes partnership and commercial program performance, builds AI-powered insights tools, and advises business strategy across operations and sales teams.

Conducts quantitative research, designs experiments, and analyzes marketplace data to inform product decisions and business strategy.

Data Scientist II analyzes partnership and operations data to guide business strategy, measure integration impact, and build AI-powered analytics tools.

Analyzes marketing data and builds dashboards to track campaign performance, attribution, and ROI across channels while collaborating with marketing and GTM teams.

Data Scientist II analyzes partnership and commercial program performance, builds AI-powered insights, and optimizes integrations to drive business strategy.

Data Scientist II analyzes partnership and commercial program performance, builds AI-powered data products, and provides strategic insights to operations and business development teams.

Data Scientist II analyzes partnership performance, optimizes integrations, and builds AI-powered analytics tools to guide strategic business decisions.