Top Data Science Jobs

Manage data science initiatives, develop complex analytical solutions, oversee campaign execution, and collaborate with business leaders to provide insights and strategies.

The Data Scientist role involves delivering analytics supporting drug discovery, developing reproducible workflows, and collaborating on research initiatives within Caris Life Sciences.

The Data Scientist 1 will build data models, manage analytical projects, and leverage data insights for business strategies, utilizing tools like SQL, Python, and data visualization software.

Lead the execution of A/B tests, analyze customer behavior, synthesize data insights for decision-making, collaborate with engineering teams, and mentor junior scientists.

The Data Scientist will provide data analysis and support federal investigations involving fraud and corruption, using advanced analytics techniques and various software tools.

Senior Data Scientists at Excella lead data science projects, applying machine learning techniques to optimize analytics solutions and communicate insights to clients.

The Senior Data Scientist will apply machine learning to improve cancer detection, collaborating across teams to analyze genomic data and develop innovative solutions.

As a Data Scientist, you will develop, deploy, and analyze models, collaborating with teams to solve business problems and improve data quality.

The Senior Customer Data Scientist will develop and deliver AI solutions, enable customer adoption, engage stakeholders, and contribute to platform development in enterprise settings.

The Senior Data Scientist will manage and deliver analytics projects, engaging with clients to solve business problems using data science and machine learning techniques.

As a Senior Data Scientist, you will solve machine learning problems in payment risk and build end-to-end ML solutions impacting business. Responsibilities include data analysis, model deployment, and collaboration with teams.

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

As a Senior Data Scientist, you will leverage statistics, machine learning, and data visualizations to derive insights, drive business growth, and mentor others within the organization.

As a Staff Data Scientist for Forecasting, you will develop forecasting algorithms, create data pipelines, mentor team members, and operationalize models for business needs.

The Data Scientist will build and deploy machine learning algorithms, conduct A/B testing, collaborate across teams, and optimize applications for growth marketing.

The Associate Data Scientist will manage, analyze, and interpret complex biological datasets, develop data processing pipelines, perform statistical analyses, and collaborate on research projects.

As a Data Scientist, you will develop predictive models, analyze geoscientific data, and collaborate with geoscientists to improve mineral exploration efforts.

As a Data Scientist, you will build predictive models, develop software tools, and analyze geoscientific data to support mineral exploration and discovery.

As a Data Scientist at GLS, you will design data science solutions, develop predictive models, gather and clean data, and present insights to stakeholders while collaborating with business partners and IT.

As a Staff Data Scientist, you will analyze data to guide product strategy, develop A/B testing frameworks, and create metrics for success in collaboration with product teams.

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

The role requires a Data Scientist with strong SQL and analytics experience to analyze business data and provide insights using BI tools and Cosmos.

The Data Scientist will develop solutions using SAS, R, and TSQL, with expertise in SSIS, ETL, and statistical analysis, while also having knowledge of MS tools.

The Data Scientist will analyze claims data, develop predictive models, and work with unstructured data using R and Python in a financial services context.

As a Data Scientist, you'll analyze viewer behavior and monetization, create insights and dashboards, maintain complex queries, and collaborate on data science efforts.