Top Data & Analytics Jobs

The Data Engineer will modernize Business Intelligence capabilities, design data pipelines, deploy ML solutions, and collaborate across teams to improve data processes.

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

The Machine Learning Engineer will develop machine learning models, build data pipelines, and collaborate with teams to identify customer needs. Responsibilities include training and validating deep learning models and presenting performance results.

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

As a Data Engineer, you will build and deploy data infrastructure for AI products, focusing on analytics, quality measurement, and governance. You'll collaborate with cross-functional teams to create systems that enhance data evaluation and support decision-making processes.

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

Design, build, and optimize fraud and credit risk models. Analyze fraud patterns, develop predictive models, and present findings to stakeholders.

The Senior Data Engineer will develop and maintain Oura's Datalake and support data processing systems while collaborating with various stakeholders to enhance data quality and compliance.

The Machine Learning Engineer will develop and deploy ML solutions, analyze data for insights, and monitor model performance to enhance products.

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 intern will assist with AI and data analytics projects including building machine learning models, conducting exploratory data analysis, and supporting technical documentation.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

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

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

Lead the Generative AI team by providing technical direction, developing AI-driven solutions, mentoring team members, and deploying generative models for document processing.

Lead hands-on technical leadership in machine learning engineering, mentor peers, oversee infrastructure delivery, and foster innovation in AI/ML solutions at Xometry.

Lead the Generative AI team at Xometry, focusing on developing and optimizing AI-driven solutions, generative models, and multimodal data processing.

Lead the Generative AI team to advance ML and generative AI capabilities. Develop and deploy models for document processing and mentor team members.

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.

Develop and implement machine learning models, optimize algorithms, analyze data trends, and collaborate with cross-functional teams to enhance the platform.

The Senior AI/ML Engineer designs and implements AI/ML solutions to enhance profitability, while collaborating across teams and communicating insights to business leaders.

The Principal Data Engineer will design and implement data infrastructure for Voice AI products, lead a team of data engineers, and optimize data systems for machine learning. Responsibilities include building data pipelines, driving infrastructure strategy, and collaborating with cross-functional teams.