Top Data Science Jobs

Data Scientist needed to analyze customer interactions, optimize product analytics infrastructure, ensure data quality, and generate insights using classical and LLM methods.

The Data Scientist Level 3 role involves analyzing large datasets, developing models, and communicating findings to non-technical audiences, requiring significant experience in data science and related fields.

The Data Scientist will analyze marketing data, develop AI insights, enhance AI capabilities, and collaborate with teams to build data-driven products.

The Data Scientist will design experimentation frameworks, analyze ad performance, build data pipelines, and develop data science models to influence marketing strategies.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

The Data Scientist will analyze large datasets using statistical software to identify insights and present findings to stakeholders, manage projects, and apply machine learning techniques.

Lead data scientist role focused on developing data-driven product strategies, analyzing complex datasets, and deploying machine learning models to enhance user experience on the GeminiApp team.

The Data Scientist will utilize advanced statistics, data analytics, and machine learning to address cybersecurity challenges, collaborating with government and industry clients, conducting research, and presenting findings.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The Staff Data Scientist will leverage data-driven insights to optimize customer engagement and retention through machine learning and analytics, communicate findings, and collaborate with cross-functional teams.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.

Lead end-to-end data science projects at Poshmark, focusing on machine learning, model development, and business impact. Collaborate with cross-functional teams and innovate with AI technologies.

The Data Scientist will collaborate with teams to shape product strategy using machine learning and econometric models on large datasets, measuring outcomes and designing data-driven solutions.

Develop complex queries, lead predictive analytics, mentor junior data scientists, design models, and communicate findings to stakeholders to improve decision-making.

As a Data Scientist, you'll analyze structured and unstructured data, develop predictive models, create data visualizations, and communicate insights effectively to clients.

The Data Scientist will explore, clean, analyze, and visualize data, leveraging machine learning and AI to deliver insights and solve complex problems for clients.

Perform data science work including ETL, statistical analysis, predictive modeling, and machine learning. Lead development of algorithms and automated analytic software, create visualizations, integrate FOSS/COTS, guide teammates, and translate data into actionable insights for clients.

As a Data Scientist, you will analyze data sets, develop predictive models, and create solutions to complex problems, working closely with clients.

As a data scientist, you'll analyze complex data sets using Python and SQL, create ETL pipelines, generate visualizations, and provide insights to clients.

As a Mid Data Scientist, you will analyze data, develop predictive models, and communicate insights to support intelligence operations. You'll utilize various data formats, APIs, and visualizations to enhance decision-making for mission partners.

The AI Data Scientist will analyze complex national security problems, develop operational strategies, and assess AI/ML technologies, requiring extensive experience in data science and military operations.

As a Data Scientist, you will analyze data, develop predictive models, and work with machine learning techniques to solve complex problems for clients.

As a Data Scientist, you'll analyze complex data sets to provide actionable insights for clients, leveraging machine learning and AI techniques.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.