Top Data & Analytics Jobs

As an Actuarial Data Scientist, you will develop and deploy commercial auto pricing models, collaborate with actuaries and underwriters, design feature pipelines, and communicate findings effectively. This role requires strong statistical skills and experience with predictive modeling in insurance.

The Data Engineer will execute data architecture projects, manage data ingestion processes, ensure data quality, and transition data to new systems while collaborating with investment teams.

The Data Scientist role involves analyzing payment and subscription experiences, applying data science methods, and collaborating with cross-functional teams to improve player experiences and business decisions.

Student internship supporting telecommunications projects with a Computer Science/Data Analytics focus. Tasks include research, data analysis, report generation, maintaining activity logs, meeting with a mentor, and delivering a completed project and written report while using business tools and enterprise software.

Maintain and build a Metadata Application Profile (MAP) to integrate metadata from multiple data stores into a search and discovery system. Assess metadata quality, run queries using UI/API/Postgres/Elasticsearch, create design documents for new data stores, coordinate with data stewards, and investigate metadata discrepancies and tickets to enable enterprise-wide imagery and data discovery.

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

Lead science data and knowledge management at Audubon, enhancing data accessibility and usage across various scientific programs while collaborating with IT and Conservation Teams.

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.

The data scientist will contribute to molecular biomarker research, develop reproducible data science pipelines, and communicate insights to 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 Director of Data Science will lead credit risk modeling, oversee predictive modeling strategies, mentor data scientists, and ensure compliance with fair lending guidelines.

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

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.

Lead data science and analytics initiatives for healthcare, overseeing model development, data integrity, and large-scale automated analyses. Provide actionable insights, mentor teams, collaborate with cross-functional partners, evaluate payment integrity campaigns, and present findings to stakeholders to optimize revenue, quality, consumer experience, and healthcare costs.

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.

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.

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

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.

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.

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.

Build and maintain scalable data pipelines for healthcare claims; implement de-identification and PII-reduction; ensure data quality and observability; integrate data stores and APIs; draft technical designs and documentation; gather product feedback and iterate quickly.

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.