Top Data & Analytics Jobs

Lead AI/ML and GenAI initiatives across life sciences clients, focusing on scaling offerings, driving growth, and delivering innovative solutions.

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 Manager, Data Science - Oncology will lead data engineering initiatives, optimize workflows, and support data projects, specifically in Oncology R&D. Responsibilities include developing data pipelines, managing a technical team, and collaborating with stakeholders to deliver data solutions.

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 Marketing Data Science Specialist conducts data analysis for consumer trends and marketing performance, supporting research, dashboard creation, and client strategies with insights from data.

The role involves designing data analytics tools and pipelines, ensuring data quality, leading M&A data integration, and enabling AI capabilities for financial data management.

Lead the development of a global attribution strategy, manage data product requirements, and facilitate cross-functional collaboration to enhance measurement practices.

The Open Science Data Steward will manage research data lifecycle, ensure data quality, support integration with AI systems, and foster collaboration with researchers.

The Sr Manager, SMB Analytics oversees data analytics functions, leading teams to align analytics initiatives with business strategies and deliver high-quality insights.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

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

This role involves managing Sales GTM analytics and data science, ensuring data integrity, and providing actionable insights for Sales performance using various analytical tools and frameworks.

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.

The Senior Manager of Data Science will lead a team to develop AI systems utilizing LLMs and RAG architectures for legal applications, oversee technical execution, and drive strategy in AI-driven legal technology, while mentoring team members and collaborating with cross-functional teams.

The Manager of Data Science for Fraud Incidents will lead a team to analyze and mitigate fraud attacks, develop data models, and collaborate with cross-functional teams to enhance fraud analytics and reporting capabilities.

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.

The Director of Data Science will lead AI/ML projects, ensuring their scalability and production readiness while collaborating across functions to drive business growth.

The Vice President will oversee fraud rules, utilizing data to optimize performance while managing fraud risk and client friction, and lead a testing platform for fraud controls.

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 Senior Analyst in Data Science Analytics develops data-driven solutions for business challenges, applying analytics to extract insights and enhance processes, while managing multiple projects and presenting findings to stakeholders.

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.

Lead integration of AI, data science, and analytics in operations to enhance performance and governance while mentoring a cross-functional team.

Lead Data Science study teams, ensure operational objectives are met, oversee vendor performance, coach associates, and participate in process improvements.