Top Data & Analytics Jobs

As a Data Engineer, you will be responsible for implementing ETL solutions, building data models, and enabling the team to create insightful dashboards and reports. Collaborating with various stakeholders, you will play a key role in the company's data strategy and contribute to cloud migration efforts.

The Sr. Data Scientist will develop, implement, and optimize machine learning and generative AI models, focusing on healthcare applications. Responsibilities include model value analysis, data strategy development, data preparation, and production deployment of AI solutions, while mentoring junior data scientists.

The Senior Associate, Data & Technology role focuses on managing eDiscovery projects, coordinating with clients, applying forensics and predictive analytics, analyzing unstructured data, ensuring deliverable accuracy, and supporting project leads, all while utilizing advanced technologies to improve case strategies and reduce discovery costs.

The Revenue Analyst will perform all aspects of the monthly billing cycle, including data compilation, revenue and journal entry processing, and financial transaction management. The role emphasizes problem-solving, compliance with financial regulations, and effective communication with internal and external stakeholders.

This role involves conducting research in AI applied to autonomous driving, focusing on reinforcement learning and model-based algorithms. Responsibilities include developing advanced models and learning algorithms, leveraging real-world driving data, and contributing to academic publications. You'll be part of a team that works on complex challenges in perception, prediction, planning, and control for vehicle navigation.

The Senior Data Analyst will predict revenue and margins to guide marketing and sales decisions, providing actionable insights and solutions to improve business decisions. This role involves analyzing data, maintaining performance reports and dashboards, and collaborating with various teams to drive data-driven strategies.

Lead the design, development, and improvement of machine learning models for 3D computer vision in an innovative photogrammetry platform. Responsibilities include optimizing ML systems, deploying models, and staying updated on advancements in the field. This role requires hands-on leadership and a solid background in machine learning and computer vision.