Top Data & Analytics Jobs

As a Business Operations Associate, you will drive data-driven decisions across key business initiatives, lead A/B testing, and optimize operations.

The Executive Director will oversee data science and data management strategies, leading capabilities across commercial insights and analytics while collaborating across multiple organizational functions.

Perform model audits and quantitative analyses, evaluate risk and effectiveness of models, and communicate findings to stakeholders.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

This role focuses on sourcing, due diligence, and portfolio support in the AI investment ecosystem. It requires strong networking and analytical skills, combined with a proactive entrepreneurial spirit.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

Design, build, and deploy end-to-end data science solutions for pricing, underwriting, claims, and operations. Perform analyses on structured and unstructured data, develop and monitor ML models, create dashboards and visualizations, implement data pipelines, and collaborate cross-functionally to prioritize analytics initiatives and communicate results to technical and non-technical stakeholders.

Lead marketing data and AI strategy: architect the single source of truth, design scalable data models, create measurement and attribution frameworks, prioritize and productionize predictive AI use cases, and embed responsible AI governance across marketing.

Lead a team in delivering data-driven insights for underwriting and risk selection, managing projects and fostering relationships across business units.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

The Data Scientist will analyze, design, test, and implement applications for product improvement, utilizing advanced data analytics and machine learning techniques, while supporting plant projects and mentoring team members.

TigerGraph seeks individuals to promote their scalable graph database technology used for analytics and machine learning across various industries.

Manage and mentor a team of data scientists and engineers, guide development and delivery of ML/AI solutions, ensure best practices, collaborate with stakeholders, and align data science work with business objectives.

As the first Data Scientist at Hang, you will analyze data to drive insights, develop predictive models, collaborate with teams, visualize data, and contribute to data strategies.

The role involves managing client relationships, delivering healthcare data analytics solutions, and translating complex insights into clear strategies for stakeholders. Responsibilities include coordinating teams, troubleshooting issues, and developing actionable recommendations based on data analysis.

As VP, Enterprise Data Enablement, you will drive strategies for AI-ready data management, oversee team operations, and foster collaboration across business units.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

Lead the optimization of CRM data management, leveraging AI and analytics to enhance data integrity, automate workflows, and derive actionable insights.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Manager of Individual Investor Analytics leads a team to deliver analytical solutions. Responsibilities include managing analytics projects, developing insights, and enhancing data quality. The role emphasizes collaboration with business leaders to drive data-informed decisions and improve business outcomes.

The Senior Manager of Data Engineering leads the enterprise data platform team, overseeing data processing, delivering solutions, and mentoring team members, while aligning technical strategies with business objectives.

Lead enterprise data strategy and analytics to drive audience growth, event performance, and revenue. Build scalable data platforms, AI-driven solutions, governance, MDM, and data products while advising executives and scaling a high-performing team.

Build data pipelines, automated reports, visualizations and statistical models to identify and quantify revenue opportunities. Manage ETL and big-data sources, produce dashboards, mentor juniors, and present actionable findings to senior management to drive revenue optimization.

The Data Scientist will support US Sales Operations by analyzing data to uncover insights, build predictive models, and develop interactive dashboards to enhance performance and optimization opportunities.

The Quantitative Researcher formulates and implements mathematical models and algorithms to enhance trading strategies, utilizing statistical techniques and programming skills.