Top Data Science Jobs

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.

The Staff Data Scientist will lead data science projects, develop models and algorithms, analyze datasets for insights, mentor junior scientists, and ensure data quality.

As a Data Scientist/Engineer, you will build and productionize data pipelines, design LLM-based solutions, and integrate Agentic AI technologies. Your role involves evaluating decision-making frameworks, ensuring responsible AI practices, and engaging with clients for feedback on prototypes and roadmaps.

This Data Scientist role involves analyzing subscriber behavior, designing experiments, building dashboards, and collaborating with cross-functional teams to drive growth in Spotify's subscription offerings.

As a Principal Data Scientist, you'll innovate and develop machine learning models, analyze vast data, and work with cross-functional teams to deliver valuable customer products.

The Data Scientist will design and deploy AI solutions, optimize models, and mentor teams while collaborating across departments. Key responsibilities include data analysis, model building, and integrating AI advancements.

The Data Scientist Senior Consultant will lead data analytics projects, manage client relationships, and employ various data science methodologies for business insights.

SimIS is seeking a Data Scientist to analyze qualitative and quantitative data, develop data strategies, and support NATO's strategic decision making. The role involves handling large datasets, developing visualizations, and collaborating across various NATO directorates.

Lead product-facing data science by defining metrics, building models and experiments, and delivering insights to influence product strategy. Drive experimentation best practices, mentor junior scientists, guide technical design and validation, and collaborate with Product, Engineering, and Design to operationalize ML solutions.

The Data Scientist will develop and deploy analytics solutions, collaborate with teams on AI/ML models, extract insights, and communicate results effectively.

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 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.

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 will develop and validate models to solve complex challenges, collaborate across functions, and communicate insights effectively.

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.

As a Senior Data Scientist, you will deliver real-time insights, develop and productionize ML models, design data workflows, and collaborate across teams.

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.

Lead Customer Success Data Scientist responsible for driving adoption, retention, and satisfaction for industry clients. Translate business needs into analytics strategies, build prototypes and ML/AI solutions, deliver technical guidance, collaborate cross-functionally, represent Spotfire externally, and coach teammates to improve customer outcomes and product value.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.

As a Staff Data Scientist, you'll drive data-driven insights, mentor junior staff, and integrate data science tools with engineering teams. You'll lead critical projects and represent data science in various settings.