Top Data Science Jobs

Lead data science initiatives to develop analytical solutions, mentor junior data scientists, collaborate on automation, and ensure operational reliability of models.

The Data Scientist will analyze workforce data to support job reclassification, utilizing advanced analytics, NLP, and machine learning techniques.

The Senior Data Scientist will optimize HVACR system performance using machine learning, develop data solutions, and work collaboratively across teams to enhance technical applications.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

As a Data Scientist, you will analyze complex data sets, build machine learning models, and work in a team to provide solutions, ensuring data security and optimization.

The Data Scientist will analyze complex data, build predictive models, and collaborate with teams to innovate technical solutions and optimize processes.

The Mid level Data Scientist will build and improve dashboards, develop predictive models, extract insights using AI/ML, and enhance BI tools while supporting impactful projects.

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.

The Data Scientist collaborates with stakeholders to utilize data for decision-making, designs machine learning models, and analyzes trends for insights.

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 role involves leveraging AI/ML capabilities to modernize logistics data for USCENTCOM, ensuring high-quality data inputs, and communicating insights effectively.

As a Data Scientist in Commercial Analytics, you'll develop predictive models, communicate insights to stakeholders, and collaborate with data engineers to enhance data usage and analytics solutions.

The Data Scientist will apply advanced statistics and machine learning to solve cybersecurity challenges, develop prototypes, and present findings. Collaboration with government and academia is key.

The Data Science Specialist will apply machine learning and statistical modeling in R&D, collaborating with scientists on experiments and product developments, teaching statistical principles, and contributing to strategy and measurement practices.

The Lead Data Scientist will manage projects on credit risk and business intelligence analytics, leveraging statistical models to provide insights for financial services clients. Responsibilities include developing solutions, leading client engagements, and mentoring junior staff.

You will develop innovative data science solutions, including LLM-based agents and predictive models using machine learning on complex datasets.

Lead the development of a core ontology for security config analysis, applying data science and ML techniques while collaborating with security teams.

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

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.

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

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

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.

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.