Top Data Science Jobs

As a Staff Data Scientist, you'll lead data-driven projects, mentor team members, develop ML models, and collaborate cross-functionally to drive business insights and improve the personal loans segment.

Manage end-to-end Direct Mail campaigns, collaborate with marketing teams, analyze campaign effectiveness, and drive data-driven marketing strategies.

The Staff Data Scientist will lead strategic research initiatives, develop predictive models linking product usage to business outcomes, and influence product roadmap and GTM strategies through insights and executive presentations.

The Data Scientist collaborates with leaders to develop predictive models, apply machine learning techniques, and provide insights for decision-making.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

As a Field Data Scientist at Braze, you'll collaborate with clients on data integration, develop ML models, and ensure successful product adoption while shaping the product strategy.

Join Braze as a Field Data Scientist to collaborate with customers on data integration, build APIs and ML models, and drive customer success.

The Field Data Scientist will collaborate with customers on analytics, improve data architecture, develop ML models, and ensure successful adoption of Braze's AI solutions.

As a Field Data Scientist, you will collaborate with clients to define use cases, improve product architecture, develop data pipelines, and refine ML models while ensuring successful customer outcomes.

The Data Scientist will automate data workflows, analyze datasets using big data frameworks, develop predictive models, and collaborate with other data professionals to deliver insights supporting national security objectives.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

As a Data Scientist I, you will support ML development, conduct analyses, partner with teams, and contribute to MLOps workflows for ad performance.

Lead data science efforts by providing insights to executives, leveraging AI, and building data products while mentoring juniors.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

The Data Scientist will analyze large datasets, develop predictive models, and collaborate with cross-functional teams, utilizing AI and machine learning techniques.

As a Summer Intern, you'll develop predictive models, analyze data, clean data, and communicate findings while gaining professional experience in the telecommunications industry.

The Geospatial Data Scientist will lead the design and implementation of data architectures and algorithms to support GEOINT operations and customer intelligence requirements.

The Geospatial Data Scientist will support GEOINT analysts in creating data architectures and integrating algorithms for intelligence requirements, with a strong emphasis on data science techniques and GEOINT operations.

The Geospatial Data Scientist will create optimal data architectures and integrate algorithms to support GEOINT operations and analysis for intelligence requirements.

The Geospatial Data Scientist will work with GEOINT analysts, develop data architectures, and integrate data science techniques to support intelligence operations.

As a Staff Data Scientist, you will lead product analytics, define measurement strategies, drive cross-team initiatives, and mentor junior data scientists to enhance mental healthcare outcomes.

As a Staff Data Scientist for Marketing Analytics, you will lead marketing performance analysis, develop measurement frameworks, and influence strategic decisions to drive patient growth.

As a Senior Associate Data Scientist, you'll develop AI and software engineering solutions by collaborating with cross-functional teams, leveraging advanced technologies to analyze large datasets and build machine learning models.

The Data Scientist will develop predictive models, conduct exploratory analysis, collaborate with teams, build data pipelines, and create visualizations to drive decision-making.

The Data Scientist will focus on data cleaning, dashboard development, and applying AI/ML models for unstructured data analysis. They will also conduct routine data quality checks and ensure data visualization.