Top Data & Analytics Jobs

The Data Scientist will analyze, design, test, and implement applications for product improvement, utilizing advanced data analytics and machine learning techniques, while supporting plant projects and mentoring team members.

The Senior Manager of Data Engineering leads the enterprise data platform team, overseeing data processing, delivering solutions, and mentoring team members, while aligning technical strategies with business objectives.

The Manager of Individual Investor Analytics leads a team to deliver analytical solutions. Responsibilities include managing analytics projects, developing insights, and enhancing data quality. The role emphasizes collaboration with business leaders to drive data-informed decisions and improve business outcomes.

The Associate Director leads analytics and market insights for the immunology pipeline, guiding strategic decision-making, forecasting, and vendor management across cross-functional teams.

The Staff Solution Architect leads architectural decisions in fintech, driving projects from design to implementation, ensuring compliance and collaboration across teams while addressing technical challenges and risk management.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Conduct research and development to enhance NLP models aimed at improving market research methodologies using AI and Crowd Intelligence.

Manage and mentor a team of machine learning engineers, oversee ML project development, collaborate with product management, and drive product milestones.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.

Lead and mentor the Generative AI team, developing and optimizing machine learning models and solutions for multimodal data processing and document understanding.

As an intern, you will research and implement algorithms in computer vision and machine learning, developing new features for Sony's digital imaging technology.

Manage video-language data projects, collaborate with external partners, ensure data quality, and work cross-functionally with teams to advance data operations.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

The Staff Data Engineer will lead the architecture and reliability of Hinge Health's data platform, manage technical complexity across teams, set data standards, and enhance engineering practices.

As a Senior Staff Data Engineer, you'll set the technical vision for data architecture, lead initiatives across teams, mentor engineers, and ensure platform reliability, while integrating data systems with ML pipelines effectively.

The Staff ML Data Engineer will design and build data systems for AI products, focusing on multimodal data and ensuring efficient data workflows for machine learning research and production.

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

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.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

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

The Applied ML Scientist will collaborate with researchers to develop and improve statistical methods that enhance trading strategies through applied machine learning.

The Sr. Data Engineer will architect and build an end-to-end data platform, developing data pipelines and infrastructure for AI and robotics teams, ensuring data integrity and governance, and collaborating on ML model development.

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

Join the Machine Learning team to develop deep learning models for trading strategies, collaborate with researchers and engineers, and mentor new colleagues.

Lead the Generative AI team at Xometry, developing and optimizing AI-driven solutions, mentoring team members, and enhancing machine learning capabilities.