Top Data & Analytics Jobs

Responsible for sourcing, screening, and vetting expert witness candidates for litigation purposes. Conduct background research, identify and connect with candidates, deliver expert recommendations, and build relationships with experts. Must be insightful, detail-oriented, a great team player, and provide outstanding client experience.

As a Senior Analyst in Revenue Operations at Spring Health, you will be responsible for managing recurring reports, building analytical models, partnering with the Business Intelligence team, and providing actionable recommendations to revenue leadership. Key KPIs include on-time corporate reporting and accuracy in predictive conversion analysis. Expectations include a degree in a related field, 3+ years of experience in operations or analyst roles, familiarity with GTM metrics, and proficiency in constructing analytical models and Salesforce CRM.

The Operations Data Analytics Principal is a key role on the Operations Strategy & Excellence Team, responsible for leading critical and complex cross-functional projects using advanced problem-solving and data analysis skills to drive business decisions.

The Operations Data Analytics Principal role involves leading data-driven operational improvement projects, data analysis, and creating dashboards. The candidate will work on complex data sets to provide insights for business decisions and collaborate with cross-functional stakeholders. This position offers an opportunity for experienced professionals to solve challenging problems and enhance analytical skills.

Looking for an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Collaborating closely with scientists to ensure efficient model training and integration into production environment. Responsible for reliability, cost-effectiveness, scalability, and velocity of ML models.

Looking for an ML Engineer to construct and manage robust, scalable, and high-performance compute platforms for ML workflows. Responsible for ensuring efficient model training and integration into production, supporting autonomous vehicles at Cruise. Must have strong problem-solving skills and a bias towards action.

As a Senior Data Scientist specializing in Product and Display Ads at Gopuff, you will drive the development of advanced algorithms and models for relevant ad recommendations, set smart bidding and budget for advertisers, and have a direct impact on advertising strategies and campaigns.

Drive the development of advanced algorithms and models for relevant ad recommendations, set smart bidding and budget for advertisers, collaborate with cross-functional teams, analyze complex data sets, stay updated on machine learning advancements, and shape the advertising technology roadmap for both product and display ads.

Senior Data Scientist specializing in Product and Display Ads at Gopuff, responsible for developing advanced algorithms and models for ad recommendations, setting bidding and budget strategies, and impacting advertising success. Collaborate with cross-functional teams to innovate in the AdTech space.

Collaborate with business leaders to analyze data from data warehouse, develop SQL queries, design data analysis, and communicate data findings to stakeholders.

Manage the full lifecycle of data warehousing needs, including reading and writing complex queries, creating database objects, and maintaining ETL pipelines. Utilize Microsoft and AWS technologies like MS SQL Server, SSIS, PowerShell, and other cloud technologies. Collaborate with a team of data engineers and data scientists, compile user requirements, build reports and dashboards, troubleshoot existing reports, develop SQL scripts, build data pipelines and ETLs, and contribute to building scalable data models. Stay updated on best practices and trends in data operations.