Top Data & Analytics Jobs

Develop and deploy advanced statistical and ML models on large-scale alternative datasets to generate investable signals, partner with investment teams, evaluate data quality, and drive novel data-driven research with commercial impact.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

The Staff User Researcher will lead exploratory and evaluative research to shape the Go platform's strategy, focusing on AI integration and user experiences.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

The Senior Manager, Data Science - Patient Growth will own the marketing analytics strategy and lead a data science team focused on improving patient acquisition through data-driven measurement and growth analytics.

The Data Science Manager will lead a team to deliver insights using data science techniques, influencing business strategies and providing guidance to senior management.

The role involves leading a team to develop AI and ML solutions, manage customer interactions, and analyze large data sets using various technologies.

Lead insights and data science strategies for the Payer Group at Headway, driving analytics to improve patient outcomes and collaborating with multiple stakeholders.

As a Senior Clinical Data Science Lead, you will lead clinical data management strategies, oversee data analysis for trials, and guide teams in data governance and quality control.

As a Data Analyst intern, you'll analyze data sets, build dashboards, run experiments, and communicate insights for decision-making.

The Education Engineer will create educational content and curriculum for developers using LangChain tools, collaborating with engineering teams to enhance learning experiences in applied AI.

The Data Product Manager will lead the development and scaling of data products, translating business needs into analytics solutions while managing projects and coordinating with stakeholders and teams.

Develop and validate ML pipelines for long-term time series from wearable and clinical sensors. Use transfer learning from ECG models, implement DSP workflows, evaluate foundational time-series models, benchmark vs clinician-verified ground truth, and maintain reproducible code and biomarker datasets.

The role involves executing marketing attribution products, collaborating with teams, translating business questions into analytical solutions, and influencing stakeholders for effective strategy.

The Director of People Analytics will lead the people analytics function, driving data strategy to enhance decision-making, workforce strategy, and overall business outcomes through data-driven insights.

The Consultant will assess, prioritize, and model demand across the organization, working with stakeholders to ensure effective decision-making and delivery outcomes, requiring strong analytical and financial skills.

As a Data Solutions Intern, you will assist with analyzing data processes, documenting improvements, defining user stories, supporting application development, and preparing training materials. This internship offers hands-on exposure to Agile practices in a collaborative environment.

The Data Analyst will analyze telemetry and operational data in critical infrastructure environments, providing insights for incident management and operational performance improvement.

Responsible for analyzing Tech Refresh data, providing recommendations for automation, improving data management, and preparing reports for management using statistical tools.

The Market Intelligence Manager will drive strategic analysis, support CEO initiatives, and deliver business insights by analyzing market data and trends.

The Marketing Analytics Senior Lead will manage the analytics strategy for Lifecycle & CRM marketing, influence investment decisions, lead experimentation, and provide insights to enhance marketing efficiency across a global platform.

Lead the strategic direction of brand performance by integrating insights and decision science, managing teams, and driving data-driven decision-making throughout the product lifecycle.

As a Data Product Manager, you will bridge data systems and user experiences, manage data quality, and align data strategy with business objectives, while fostering collaboration across teams.

Develop and implement advanced algorithms, apply statistical techniques, collaborate with clients, assess technologies, and mentor team members.