Top Data Science Jobs

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.

As a Data Scientist II, you'll analyze products, design experiments, and build metrics to enhance customer experience and product strategy at Coinbase.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

The Data Scientist II will perform analyses to answer strategic questions, design experiments, and develop key metrics to support Coinbase's Institutional business.

The Data Scientist will analyze complex datasets, build predictive models, collaborate with stakeholders, and present insights for business decisions.

The Senior Product Data Scientist will leverage data to optimize the customer experience, evaluate new features, and provide product recommendations through analytics and experimentation.

The Data Scientist will develop analytic solutions for financial services, using statistical methodologies on large datasets and collaborating with clients to drive business initiatives.

The Data Scientist role involves developing analytic solutions, leading client engagements, designing predictive models, and delivering insights across industries served by TransUnion, particularly in financial services.

As a Senior Associate Data Scientist, you will collaborate with a team to develop machine learning models, utilize data analytics tools, and derive insights from large datasets to support business objectives.

The Geospatial Data Scientist will automate data ingestion, analyze geospatial data, create visualizations, and ensure high-quality data workflows.

The role involves advanced statistical analysis, implementing data preparation and predictive modeling, collaborating with engineering teams, and ensuring data security and compliance.

As a Data Scientist at Opendoor, you will build pricing models and frameworks, run experiments, and collaborate with teams to enhance pricing accuracy and business strategy.

The Data Scientist II will lead end-to-end ML projects, deploy production-grade models, and collaborate with stakeholders and data engineers to optimize analytics solutions.

The Data Scientist II role involves building and deploying production AI/ML solutions, collaborating with stakeholders and data engineers, and translating technical insights into business value.

As a Senior Data Scientist in Fraud Risk, you'll develop metrics, real-time monitoring systems, and implement predictive machine learning models to mitigate fraud while balancing customer experience.

The Staff Data Scientist will develop loss projections for lending products, analyze data to support strategic goals, and improve forecasting methodologies while collaborating with various teams.

The Senior Staff Data Scientist will lead causal inference and experimentation standards, mentor teams, and enhance data-driven decision-making across the organization, focusing on mental health impact.

The Senior Implementation Data Scientist will integrate Altana's platforms with customers, create analytical workflows, build value chains, and ensure positive client experiences while leveraging data science expertise.

As a Data Scientist, you'll leverage machine learning and advanced technologies to develop and implement models for credit line optimization, collaborating with cross-functional teams.

This role involves developing analytic solutions and predictive models for TransUnion's clients, managing client engagements, and conducting complex data analysis.

The Staff Data Scientist will drive business strategy through predictive insights, collaborate across teams, and develop solutions to enhance products and reduce losses.

The AI/ML Data Scientist will develop innovative ML solutions, prototype new AI concepts, and enhance existing models to improve business processes, while working collaboratively with teams and customers.

The Data Scientist will collaborate with various teams, run experiments, analyze data to inform product strategy, and drive growth through advanced analytics and machine learning.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

The Data Scientist will develop automated risk monitoring capabilities and key risk indicators, collaborating with teams to enhance decision-making and risk management. Responsibilities include analytics, metric development, and communicating findings to stakeholders to improve risk controls.