Top Data & Analytics Jobs

The Manager of Regulatory Submissions will lead regulatory strategies and submissions for global authorities, ensuring regulatory alignment with business goals while collaborating with cross-functional teams on medical devices.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

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 deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

Lead a team delivering workforce planning analytics and people insights. Drive people analytics strategy, build reports/dashboards, apply AI/ML to predictive workforce modeling, ensure GDPR-compliant data practices, and present findings to senior leadership while partnering with HR, Operations, and Finance.

Lead analysis of service events and work order data to produce actionable visualizations and insights. Prototype dashboards, apply ML/AI to forecast labor and parts trends, govern access to service data domains, and partner with distribution and digital teams to improve dealer resource planning.

As a Data Engineering Intern, you'll work on data pipelines, cloud infrastructure, and data quality, collaborating on projects using AI and DevOps tools.

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.

Build and deploy machine learning models end-to-end: acquire and prepare data, perform EDA and feature engineering, evaluate and tune models, create visualizations, and communicate insights to cross-functional teams to improve customer care experiences.

Lead analytical studies to enhance Snap's SMC business, mentor a team of analysts, and develop data-driven strategies to inform growth and sales decisions.

This part-time student role involves data cleaning, analysis, and collaboration with teams to extract insights for automation projects, presenting findings and delivering data-driven solutions.

Design, prototype, and deploy statistical and ML models for lifecycle marketing to drive acquisition, engagement, retention, and upsell. Run and evaluate experiments (A/B tests, bandits), collaborate with engineers/ML Ops to productionize models, and communicate insights to stakeholders.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.

Analyze and assess future technology for military applications, evaluate national security implications of disruptive technologies, and produce strategic assessments for decision-makers.

Analyze and assess emerging and disruptive technologies' implications on national security, produce intelligence assessments, and support object-based intelligence production. Collaborate with technologists to integrate advanced analytics into workflows.

Interns will work on security and privacy challenges using systems programming, data analysis, and open-source development to enhance internet integrity and reliability.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

Lead enterprise data governance, quality, and lineage strategy. Mentor teams and partner with engineering to enhance data intelligence through AI-driven frameworks.

Lead data analytics and strategic insights across the organization, influencing executive decisions and optimizing business performance through advanced analytics and management of analytics teams.