Top Data Science Jobs

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Data Scientist will develop innovative classification algorithms for EEG neurodiagnostics, analyze data trends, collaborate with stakeholders, and mentor junior team members.

The Applied Data Scientist will lead analytics projects, develop models, and collaborate with stakeholders to provide actionable insights supporting business growth.

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

As a Data Scientist II, you will analyze large datasets, build predictive models, develop data pipelines, mentor juniors, and present findings to stakeholders.

As a Senior Data Scientist, you will engineer solutions using AI, build scalable ETL pipelines, and work with complex data analysis, mentoring others in the process.

The Sr. AI & Data Scientist develops and deploys AI/ML solutions in healthcare, driving technical excellence and mentoring others to enhance outcomes for Medicare Advantage members.

The Data Scientist will focus on applied research, fine-tuning LLMs, building evaluation frameworks, and collaborating with engineering teams for scalable AI solutions.

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.

The Data Scientist will analyze complex datasets to extract insights, design predictive models, and present findings through storytelling and visualizations.

As a Lead Data Scientist, you will manage the Parts Long-Term Forecast process, develop analytics solutions, and ensure accurate forecasting while overseeing statistical modeling and dashboard creation using Power BI.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

The Data Scientist will define product KPIs, build measurement systems, conduct experiments, analyze data, and shape product direction while collaborating with cross-functional teams.

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.

As a Staff Data Scientist, you'll design and implement advanced algorithms, develop analytic models, collaborate with cross-functional teams, and translate complex concepts into business insights focusing on predictive modeling and machine learning.

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

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

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

The Data Scientist will analyze business data, build reports, and visualizations, mentor analysts, and collaborate with stakeholders to drive data-driven decision-making.

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

Lead data science strategy for Accounting, Finance, and Payments. Build ML/AI systems (including LLM workflows) for forecasting, fraud detection, anomaly monitoring, and financial automation. Architect data pipelines, models, and dashboards while advising finance leadership and scaling analytics capabilities.

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.

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.