Top Data & Analytics Jobs

Manage the Data Science and Analytics team, develop data solutions, ensure data quality, and provide analytics support for business decision making.

The Director, Data Science will lead analytics for clinical trial feasibility and study planning, develop insights, and improve decision-making processes. They will manage a team, optimize analytics delivery, and ensure data quality while collaborating with stakeholders.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

The data scientist will contribute to molecular biomarker research, develop reproducible data science pipelines, and communicate insights to stakeholders.

The role involves leading data science initiatives, managing large datasets, developing predictive models, and building a high-performing analytics team.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

Lead the Personal Insurance modeling team, driving innovation in predictive modeling, machine learning, and actuarial analytics, while managing team performance and collaboration with cross-functional teams.

Lead digital marketing measurement and data science, analyze digital data, develop statistical models, and collaborate with marketing teams for optimization and insights.

The Director of Data Science will lead credit risk modeling, oversee predictive modeling strategies, mentor data scientists, and ensure compliance with fair lending guidelines.

Analyze large data sets, build predictive models, automate data collection, and collaborate with teams to enhance decision-making and performance.

Lead machine learning and data science strategy at LendingClub, managing teams and driving innovation in predictive modeling and analytics across various domains.

The VP of Data Science & Strategy will transform complex business challenges into actionable growth strategies, leveraging data to influence decisions and drive company strategy.

Design, build, and maintain scalable data models and pipelines using Python and SQL. Collaborate with product and SMEs to create analytics-ready healthcare datasets, maintain data engineering systems, document solutions, and iterate based on product feedback.

As a Business Scientist, you will engage with clients to deliver analytics solutions, apply statistical methods, and translate insights into actionable strategies while managing projects and collaborating with teams.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

Responsible for driving the technical roadmap, developing prediction models, collaborating across teams, and mentoring new talent while delivering data-driven insights.

Work with large datasets to ensure data quality, automate analytics workflows, and produce reliable, consumable insights. Investigate data behavior, communicate findings to technical and non-technical stakeholders, partner with engineering and product teams, and implement automation and AI-assisted tooling to improve accuracy and efficiency.

The Senior Data Scientist will lead analytics efforts, develop data models, and improve data pipelines to support Thyme Care's mission in oncology care, while collaborating with stakeholders to enhance performance metrics and reporting.

As a Junior Business Scientist, you will support analytics projects in data science and marketing effectiveness, focusing on data preparation, statistical modeling, dashboard development, and client interactions.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

Design and maintain a dbt-based business data layer for GTM metrics, centralize and reconcile multi-source data, implement automated data quality and reconciliation checks, align and document metrics with stakeholders, mentor analytics team, and lead root-cause investigations into complex data anomalies.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

As a Data Scientist, you will define metrics, design A/B tests, and create dashboards to improve data-driven product development at OpenAI.

Collaborate to enhance product through analytics, conduct data exploration on user behavior, and present insights to influence product decisions.

The Data Scientist will apply advanced statistics and machine learning to analyze data, design prediction algorithms, and collaborate with engineering for insights and improvements.