Top Senior Data Science Jobs

Lead end-to-end data science for lending products: define metrics, run experiments, build measurement systems, evaluate model and policy performance, use AI tools to accelerate analysis, and mentor the team while partnering with product, engineering, and risk stakeholders to drive credit product decisions.

As a Senior Data Scientist, the role involves leveraging data analysis, experimentation, and statistical methods to influence business decisions and enhance Gusto's product performance, while mentoring team members.

The Senior Systems Data Scientist will develop methodologies for measuring trust in AV testing, manage data analysis frameworks, collaborate with teams, and provide insights for decision-making.

Hands-on Staff Data Scientist to translate ambiguous business problems into production-grade ML solutions. Responsibilities include feature engineering, model development, evaluation, MLOps, deployment, monitoring, experimentation, cross-functional partnership, and technical leadership to scale reproducible data-science practices and deliver measurable business impact.

Lead analytics initiatives to deliver strategic insights for consumer markets. Develop advanced analytics and BI solutions, manage teams, engage stakeholders, implement cloud analytics, and coach diverse teams to improve performance and decision-making.

Partner with Digital Assets, Finance, Treasury, and Risk to design measurement frameworks, perform strategic analysis and modeling, build scalable SQL-driven automation and dashboards, analyze on-chain and finance data, create visualizations, and drive data-informed product decisions for USDC and related digital asset offerings.

Design and automate geospatial data ingestion and analysis pipelines using Python and AWS; apply geospatial data science to extract mission-relevant insights; create maps and visualizations for varied audiences; maintain repeatable workflows, documentation, and data integrity; gather customer requirements and implement solutions on-site.

Lead product analytics efforts by designing and evaluating experiments, building dashboards, and producing statistical insights. Partner with product, design, and engineering to measure product success, identify optimization opportunities, and embed ML-driven personalization into the product.

Lead GTM data science initiatives to build revenue forecasting, causal inference analyses, and AI-enabled solutions that improve sales, retention, and expansion. Partner with Product, Growth, and Commercial teams to operationalize insights, communicate findings to stakeholders, and mentor junior data scientists.

As a Staff Data Scientist, you will lead complex marketplace problem-solving, architect ML systems, mentor teams, and drive data science strategy in partnership with engineering and product management.

This role involves leading data science projects, developing machine learning models, collaborating with stakeholders, and mentoring other data scientists.

As a Data Scientist, you'll leverage data to drive corporate strategy by building machine learning models and collaborating with cross-functional teams.

Lead end-to-end direct mail marketing campaigns: define targeting and suppression logic, execute and validate data pipelines, manage offshore execution, measure ROI and experiment results, partner with marketing and third parties to optimize audiences and campaign performance, and present insights to senior leadership.

As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.

Technical lead for Growth Analytics: partner with Growth/Marketing/Sales to identify opportunities, design experiments and statistical models, build scalable measurement frameworks, mentor junior data scientists, translate business questions into analytic solutions, and communicate insights to drive acquisition, activation, retention, and reactivation.

The Data Scientist will build predictive models, design data pipelines, conduct analyses, and deploy solutions in a collaborative environment.

Partner with product owners to translate business problems into scalable data science, ML, AI, and GenAI solutions. Develop predictive, forecasting, optimization, and simulation models; analyze large datasets; build dashboards; deploy models in cloud environments; and contribute to data governance and infrastructure improvements.

The AI/ML Data Scientist will develop and deliver innovative AI/ML solutions, train models, collaborate with business partners, and communicate findings effectively.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

The Senior Associate, Data Scientist will partner with cross-functional teams to identify risks associated with models and validate machine learning models across the enterprise, enhancing decision-making while ensuring model governance and risk management.

As a Data Scientist at Opendoor, you'll enhance pricing strategies through statistical models, machine learning, experiments, and interdisciplinary collaboration to drive business outcomes.

Lead data science initiatives across core business domains: collaborate with stakeholders and engineers, analyze large datasets, design experiments, build and productionize statistical and ML models, harden pipelines, monitor performance, and mentor teams to drive data-informed decisions.

The Senior/Staff Data Scientist will build and deploy predictive models for consumer decisioning and business optimization, focusing on machine learning and statistical modeling. Responsibilities include model development lifecycle, data exploration, collaboration with teams, and improving product outcomes.

The Senior Associate - Data Scientist will develop AI and machine learning solutions, focusing on model lifecycle management and delivering AI initiatives in collaboration with business teams.

As a Principal Associate Data Scientist, you'll build and manage machine learning models for marketing efficiency, translating business goals into data solutions and collaborating with stakeholders.