Senior Data Scientist jobs in New York, NY

The Senior Data Scientist will lead end-to-end yield optimization initiatives for Azure infrastructure by framing complex business problems and translating data into actionable pricing strategies. They will partner with cross-functional teams to influence decision-making through rigorous experimentation, causal inference, and statistical modeling.

You will lead the end-to-end scoping, development, and deployment of machine learning solutions to address complex operational business challenges. The role involves working directly with clients to translate technical insights into measurable results while mentoring other data scientists.

You will own end-to-end product and PLG analytics, defining and measuring the self-serve funnel while uncovering drivers for activation, retention, and monetization. You will also build data pipelines, develop predictive models, and partner with leadership to drive strategic product and growth decisions.

You will design and deploy machine learning models to optimize yield, pricing, and inventory allocation within a programmatic marketplace. You will also architect data pipelines and real-time inference systems to ensure high-performance decision-making at scale.

Lead end-to-end analytics projects and partner with cross-functional teams to define success metrics and drive product strategy. Design and analyze experiments while building compelling data narratives to influence decision-making across the organization.

You will partner with engineering and product teams to build statistical models and design experiments that optimize the marketplace. Your role involves translating ambiguous business problems into testable data questions to inform commercial strategy.

You will partner with cross-functional leaders to shape the growth strategy, size opportunities, and prioritize the product roadmap. Additionally, you will own the growth funnel metrics and design experiments to drive customer acquisition, activation, and retention.

The consultant will design and validate optimization, simulation, and forecasting models to improve supply chain performance. They will also build analytical solutions using Python and SQL while collaborating with stakeholders to define business objectives.

The role focuses on establishing and expanding partnerships with pharmaceutical and biotechnology clients to drive revenue for Tempus data solutions. You will act as a scientific advisor, collaborating with internal teams to develop targeted research and commercial solutions for client accounts.

The Senior Data Scientist will perform analytics using data science techniques and communicate insights to business stakeholders. They will also lead client engagement workstreams focused on process improvement, optimization, and operational transformation.