Top Data & Analytics Jobs

Build scalable, production-ready data solutions and automations. Perform ad-hoc and deep-dive analyses using Python, PySpark, and SQL. Collaborate cross-functionally, use Databricks and Tableau to generate insights and optimize client marketing performance.

Lead Data Science program teams, ensuring project delivery and compliance with regulations. Manage resources, provide mentorship, and drive process improvements.

The Lead, Data Science Internal Audit will implement statistical models, develop data frameworks for audits, mentor junior members, and present findings to stakeholders, enhancing audit practices through analytics.

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.

The Data Analyst will handle complex requests, turning raw data into insights, building reports, and partnering with teams to develop scalable solutions for clients.

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.

Hands-on internship collecting and managing force plate and motion-capture data, maintaining and calibrating performance equipment, collaborating with the performance team to analyze movement outputs, and contributing to reports that inform athlete training.

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.

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.

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

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

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

The Data Science Manager for Process Analytics will define process attributes for validation, support manufacturing and supply with statistical analysis, and train teams in process control methods.

The Senior Manager will lead B2B analytics efforts, drive data-driven strategies for marketing, optimize revenue growth, and enhance performance through advanced analytics frameworks and collaboration with stakeholders.

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 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.

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.

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.

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