Top Data & Analytics Jobs

Analyze A/B experiments and large datasets to determine why experiments performed well or poorly. Communicate results to business partners, validate and improve data-driven decision processes, build key metrics and modeling reports, and collaborate with business and engineering stakeholders.

Support design, development, testing, and implementation of automation and AI-enabled tools. Assist with data collection, analysis, visualization, and reporting. Collaborate with cross-functional teams to identify process improvements, create documentation, process maps, and user guides, and contribute recommendations to enhance operations and decision-making.

Lead advanced analytics and experimentation to improve digital customer experiences. Translate business questions into testable hypotheses, analyze structured and unstructured data (including transcripts and platform logs), build data models and visualizations, deliver insights to senior leaders, and drive measurement strategy and dashboard automation using SQL, Python, Snowflake, Tableau, Adobe Analytics and related tools in an Agile environment.

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 role leads the transformation of reporting and analytics for consumer product quality, focusing on complaint data analysis and driving quality improvements globally.

As a Senior Data Analyst for Fraud Strategy & Operations, you will analyze data to identify fraud trends, build predictive models, design fraud prevention rules, and collaborate with cross-functional teams to enhance fraud detection capabilities.

As the Senior Fraud Strategy and Analytics Manager, you will analyze fraud trends, build predictive fraud models, implement prevention rules, and enhance risk profiles while collaborating with cross-functional teams in the financial services sector.

Lead investigations into KPI shifts, mentor Brand Analysts, bridge business and data science teams, and create innovative segmentation strategies.

The Manager will develop analytics and AI tools to answer business strategy questions and support decision-making within the Product Development and Supply team at Bristol Myers Squibb.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

The Head of Data will define and execute Crosby's data strategy, build data systems, enhance AI performance, drive analytics, and lead the data team.

DiffUSE seeks individuals interested in interdisciplinary roles involving computational biology, machine learning, and open scientific tooling. Responsibilities include data processing, ML research, infrastructure engineering, and community building.

As a Compliance Data Scientist Co-op, you will automate data processing, enhance Power BI reports, and utilize AI for compliance improvements.

The Manager will establish advanced demand forecasting and supply chain analytics capabilities, collaborate with teams, develop models, and drive data-driven decisions for business strategy.

Agap Technologies, Inc. offers online Machine Learning training with real-time instruction, immediate support, interview training, and OPT guidance for enrolled trainees.

The Senior Data Scientist will develop optimization models, manage the model lifecycle, and collaborate across teams to enhance Lyft's marketplace efficiency and strategy.

Designs, builds, and maintains scalable ETL pipelines and databases; integrates large-scale data for analytics; develops and tests code, queries, and reports; ensures data quality and governance; leads solution development, trains users, and supports ML and BI initiatives.

Design and execute advanced inferential and predictive analyses and study designs for population and behavioral research. Support survey weighting, variance adjustments, sample blending, data preparation and quality monitoring. Contribute to technical deliverables, literature reviews, causal inference and synthetic data solutioning, visualizations, and stakeholder communication while collaborating with interdisciplinary teams and HPC engineers.

Lead and manage global teams delivering commercial analytics and technology initiatives for Life Sciences, while driving projects related to field force design and sales effectiveness.

As an Engineering Manager, you'll lead efforts to enhance model performance, manage team projects, and support professional growth in a dynamic environment.

The Quantitative Research Analyst will develop execution strategies, conduct market research, and analyze execution costs for Futures and FX trading.

As a Machine Learning Infrastructure Engineer, you will build and maintain infrastructure for ML model training, optimize deployment, collaborate across teams, and improve internal tools for ML workflows.

As an Applied Scientist (ML), you will develop ML solutions, analyze existing systems, and create impactful ML prototypes and evaluation datasets.

The Lead Director will drive finance reporting modernization and AI/ML transformation initiatives, oversee teams, establish analytics frameworks, and engage stakeholders.

Lead institutional research, reporting, and business intelligence to support planning, accreditation, enrollment, and compliance. Supervise IR/analytics staff, develop dashboards and predictive analyses, manage state/federal reporting, and advise leadership using data-driven insights.