Top Data Science Jobs

As a Data Scientist, you will analyze complex data sets and develop algorithms to provide insights and solutions for various sectors. You will collaborate with clients, create data pipelines, visualize data, and utilize machine learning methods to support decision-making processes.

The Data Scientist will analyze data to improve business operations, build AI/ML tools, visualize insights, and mentor stakeholders in AI initiatives.

As a Data Scientist, you'll design and implement innovative models, conduct exploratory data analysis, and mentor others while developing scalable algorithms using machine learning techniques.

The Data Scientist will build predictive models, analyze complex datasets, collaborate with engineering teams, and enhance operational efficiency through data science solutions.

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.

As a Data Scientist at Cint, you will analyze large datasets, develop and validate statistical and machine learning models, and collaborate with cross-functional teams to enhance media measurement products.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.

As the first Data Scientist, you will analyze user data and AI outputs to enhance content creation, define metrics, conduct A/B testing, and collaborate closely with cross-functional teams to improve product features.

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

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.

The Applied Data Scientist III will develop scalable AI solutions, analyze data, and translate technical concepts for stakeholders while advocating for AI adoption.

As a Data Scientist, you will collaborate across teams to build data solutions, design data pipelines, develop statistical models, and create visualizations to support business decisions.

The Data Scientist II will work with sports tracking data to build models and analyses for NHL and NBA organizations, focusing on data transformation and metrics development.

As a Supply Chain Data Scientist, you will develop predictive and prescriptive models to enhance supply chain processes, partnering with engineering teams and stakeholders to implement AI-driven solutions.

As a Senior Applied Data Scientist, you will lead projects to derive insights from data, deploy algorithms, and support team members while ensuring quality standards are met.

As a Data Scientist, you will develop data solutions, implement data pipelines, and support users in transforming complex data into actionable insights, working closely with clients and senior engineers.

As a Data Scientist II at Fabletics, you will conduct media measurement and marketing analytics, execute tests to optimize spend, and collaborate with cross-functional teams to improve marketing effectiveness using statistical models and data analysis.

The Senior AI/ML Data Scientist drives strategic data initiatives, designs advanced predictive models, analyzes large datasets, and mentors other data scientists while collaborating cross-functionally to influence product design and implementation.

The Data Scientist will develop AI models, analyze data using algorithms, and provide insights to support engineering solutions.

Contribute to data strategy execution, perform data quality analysis, develop models, and create visualizations while collaborating with stakeholders.

The Staff Data Scientist will build and maintain predictive models for product and business intelligence, drive data science projects, and ensure data quality while communicating findings clearly.

The role involves leading analytic client engagements in financial services, developing predictive risk management solutions, and mentoring junior colleagues while managing multiple projects and delivering insights.

As a Principal Data Scientist at Gusto, you will lead data-driven strategies in payments, collaborate with engineering teams, drive A/B testing, develop predictive models, and build AI-native data products, ensuring data integrity and influencing business decisions.

Lead data science projects to optimize drug development, develop AI models for clinical trials, and collaborate with teams on biomedical workflows.

As a Senior Data Scientist, you will develop technologies for signals exploitation, perform data analysis, and implement algorithms while collaborating with project teams.