Top Hybrid Data & Analytics Jobs

The Senior Manager, Data Science will develop advanced analytics models to enhance audience segmentation. They will collaborate with marketing teams to translate insights into strategies, manage data processes, and execute A/B testing. Strong analytical skills and knowledge of data science in a marketing context are required.

The Senior Web Analyst will analyze web traffic and user behavior utilizing Google Analytics, focusing on eCommerce performance and media attribution. Responsibilities include creating eCommerce dashboards, managing media attribution systems, and collaborating with teams to improve digital marketing strategies and website performance.

As a Research Scientist at Waabi, you will lead and contribute to AI research projects, focusing on developing algorithms for self-driving technology and their implementation in production systems. Your work will encompass problem-solving across various areas, including perception, motion forecasting, and generative modeling, while also ensuring code quality and publishing findings at top conferences.

The Senior Staff/Principal Scientist will lead a team in developing AI/ML pipelines for analyzing large datasets from cell models, focusing on disease-relevant phenotypic insights. Responsibilities include managing projects, designing experiments, developing multimodal models, and collaborating with various teams. The role requires expertise in machine learning and a strong analytical mindset.

The Economic and Strategic Operations Analyst will support financial planning, budgeting, data management, analysis, and reporting for real estate development. Responsibilities include analyzing property financial status, maintaining client relationships, and providing insights on strategies and initiatives. The role also involves managing multiple tasks and adapting to changing situations.

The Performance Analyst at Chevy Chase Trust prepares investment performance reports for clients, ensuring accuracy and compliance with GIPS. Responsibilities include data analysis, troubleshooting performance data, and supporting the Portfolio Analytics team in various projects, while maintaining high data quality standards.

Data Scientist role at PhysicsX, a deep-tech company developing machine learning applications to accelerate physics simulations. Responsibilities include building models, delivering data science workstreams, designing data pipelines, and contributing to R&D. Seeking candidates with enthusiasm for machine learning, problem-solving skills, and a degree in a relevant field.