Top Data Science Jobs

Design and deliver training programs for data scientists, establish best practices, document methodologies, and mentor junior data scientists while optimizing workflows.

The Data Scientist I role requires collaboration with cross-functional teams to build AI/ML products, including developing, evaluating, and deploying machine learning models while performing data analysis and supporting A/B testing.

The role involves maximizing data value through analytics, data science practices, cleaning data, and employing machine learning techniques. Requires collaboration on developing advanced analytics and visualizations for business intelligence.

The Data Scientist will analyze structured and unstructured data, develop algorithms, and provide insights to clients for informed decision-making.

The AI/ML Data Scientist Consultant will leverage data analytics and machine learning techniques to provide insights and support decision-making processes for clients.

As a Data Scientist, you'll unlock insights from complex data sets, lead development of algorithms, and advise clients using data-driven solutions.

The candidate will analyze complex data to inform business decisions, design customer models, utilize machine learning tools, and collaborate across departments.

The Data Scientist will design training programs, mentor data scientists, establish coding best practices, and collaborate with stakeholders to improve tools and methodologies.

The Principal Data Scientist leads the development of an AI-driven search quality framework and mentors a team to enhance search algorithms leveraging machine learning and analytics.

As a Senior Data Scientist at Remitly, you'll drive data-driven decision-making, mentor junior staff, and own complex analytical problems utilizing AI/ML techniques.

As a Principal Data Scientist, you'll partner with teams to develop ML models that personalize solutions for customers, driving financial stability through data analytics and machine learning.

The Data Scientist III will deliver high-value analytics projects, implement client solutions using ML and advanced statistics, and construct complex models for healthcare data.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

Lead data science projects to analyze complex data and create algorithms, while advising clients to leverage insights for informed decision-making.

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 Mid-Level Data Scientist will provide automation support, integrate GEOINT data, streamline workflows, and assist in developing data management practices for various programs.

As a Data Scientist, you'll analyze complex data sets, develop machine learning models, and create data visualizations to inform decision-making for an intelligence community agency.

As a Data Scientist, you will develop and validate models to solve complex challenges, collaborate across functions, and communicate insights effectively.

Seeking a Data Scientist to build data solutions using deep learning and statistical tools, collaborating with product teams and clients to extract insights from marketing data.

The Data Scientist will design and implement machine learning algorithms for enterprise applications, collaborate with federal customers, and contribute to the C3 AI Suite's features.

Work with media strategists, data scientists, and engineers to design and execute campaign measurement, experimentation, and optimization. Manage projects, ingest and clean data, perform statistical analyses, build reproducible Python/SQL solutions, create client-facing reports and dashboards, and help productionalize tools to improve media performance and business outcomes.

The Data Scientist will lead efforts in measuring safety impacts of AI products, implement statistical methods, and create metrics and dashboards, collaborating with cross-functional teams.

The Data Scientist designs and deploys AI/ML solutions, collaborates on model development, and contributes to data analysis in healthcare innovation.

As a Data Scientist II, you will drive data-informed decision-making by analyzing user behavior, running experiments, and delivering insights to optimize growth strategies for Tinder's product and marketing initiatives.

The Data Scientist will build and scale biological knowledge graphs, harmonize biological datasets, define schemas, and create user interaction tools while collaborating with scientific teams.