Top Data Science Jobs

As a Senior Applied Scientist, you will build machine learning models, mentor teams, and optimize business processes across various teams at Coinbase.

The Sr. Director of AI & Data Science leads AI initiatives across the business, driving innovation, strategic decisions, and responsible practices while managing a significant budget and team.

The Data Scientist will design and implement machine learning algorithms, analyze datasets, communicate findings, and meet mission requirements using technical expertise.

The Sr. Data Scientist will analyze large datasets using statistical and computational methods, communicate findings, and develop analytical strategies at Themis Insight.

Lead data science initiatives, develop product-focused strategies, enhance AI algorithms, and mentor data analysts to drive business outcomes.

The Data Scientist will analyze large datasets, implement machine learning models, develop algorithms, and communicate findings effectively. Required skills include data modeling, processing, and expertise in programming languages like Python.

Seeking a Senior Data Scientist to develop routing algorithms and optimization models, enhance operational efficiency, and mentor junior staff in a dynamic environment.

The Senior Manager, Data Science will lead a team to develop machine learning models and insights from large data sets, focusing on financial services.

As a Data Scientist, you will leverage data to improve client experiences, design metrics, build data pipelines, and collaborate with teams on data-informed decision-making.

Lead projects in machine learning, develop statistical algorithms, collaborate across teams, mentor juniors, and conduct research on healthcare datasets.

As a Lead Data Scientist, you'll build and improve models for credit risk, customer churn prediction, and optimize marketing spend, while collaborating with cross-functional teams.

Develop and maintain models to identify credit risk, predict customer churn, and optimize marketing spend. Collaborate with Product and Engineering teams.

The Data Science Manager will lead a team in developing predictive models using data from Govini's Knowledge Graph, focusing on customer collaboration and innovative solutions.

Develop scalable data solutions and algorithms, mentor junior engineers, and enhance data models for business needs in a collaborative environment.

Perform analyses, design experiments, maintain key metrics, and drive product improvements by collaborating with Product, Engineering, and Design teams.

As a Senior Data Scientist at Coinbase, you'll conduct deep dives on data to provide insights and recommendations, guide code reviews, and maintain statistical rigor in analyses, while influencing stakeholders with data-driven narratives.

Lead pricing experimentation and strategy, develop models and data pipelines, communicate findings to leadership, and collaborate across teams.

Lead development of technology for WHOOP by building statistical models and collaborating with Data Engineers and MLOps Engineers to enhance data insights and analysis.

As a Data Scientist, you will solve GM's challenges using AI and machine learning, developing models and delivering insights via UI applications.

The Senior Data Science Engineer will develop and productionize machine learning models, manage data pipelines, and improve algorithms for optimal performance.

The Data Scientist will develop and test models for lending criteria, conduct analyses using statistical tools, and communicate findings effectively.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

The Data Scientist will perform research on DeFi protocols, manage client engagements, and create dashboards while analyzing complex datasets.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.

Develop and implement machine learning and statistical algorithms for dataset analysis; generate insights, reports, and visualizations; collaborate with SMEs and software engineers.