Top Senior Level Data & Analytics Jobs

As a Senior Data Scientist II at Shipt, you will focus on data science aspects of bundling, coverage, and simulations. You will lead simulation initiatives, develop modeling methods, and work on experimentation designs while building analytical tools to support data-driven decision-making.

The Manager of Commercial Operations and Analytics at Ceribell will drive strategic initiatives, enhance sales effectiveness, and improve operational efficiency. This role involves developing sales processes, forecasting models, and analytical frameworks, while optimizing commercial strategies through data-driven insights.

As a Senior ML/Research Scientist at NextSense, you will develop state-of-the-art wearable neurotechnologies, conduct innovative research, and apply machine learning and signal processing techniques to analyze biosignals and develop digital biomarkers for neurological conditions. You will collaborate with a team to translate research into practical applications and engage in writing scholarly publications.

The Senior Cloud Data Engineer will maintain a real-time data streaming platform using AWS services, design and implement data pipelines, manage cloud data targets, and craft SQL queries for data accuracy and efficiency. The role requires expertise in data engineering and cloud technologies to fulfill complex data needs.

The HRIS Analyst - Senior provides technical and functional support for HR systems, engaging with HR teams and IT to enhance operational objectives. Responsibilities include troubleshooting, process improvements, project management, and customer engagement to optimize HR functionalities and reporting. Regular testing and documentation of processes are also integral to this role.

Manage and support the Compensation System by developing commission and bonus plans. Translate business needs into technical requirements, ensure data integrity, audit processes, and improve user adoption of sales compensation systems. Test solutions and collaborate with sales and compensation teams for enhancements.

The Index Data House Views role is responsible for developing and maintaining data transformation rules for Nasdaq Indexes. This includes creating policies for data quality, collaborating with cross-functional teams, and acting as a Subject Matter Expert on data methodologies and standards. The role requires in-depth knowledge of equity index production and vendor data.