Top Internet of Things Data Science Jobs

Lead Data Scientist will design, develop, and implement ML and statistical models, perform data discovery and ETL, guide junior team members, present technical deliverables, and drive Advanced Analytics and GenAI initiatives across multiple projects.

As a Summer Intern in Data Science, you'll develop predictive models, analyze data patterns, perform ETL tasks, and present findings to improve business decision-making.

Lead Data Scientist partners with business leaders to identify opportunities, design, develop, and deploy advanced analytics and ML solutions. Responsibilities include data preparation, modeling, feature engineering, delivering insights and visualizations, establishing standards, and directing associate data scientists, contractors, and consultants to produce measurable business value.

The Senior Data Scientist will investigate and incubate AI solutions, collaborate on product capabilities, and design scalable data infrastructure.

The Associate Director leads Real-World Data Science efforts, focusing on health economics research and data analysis using traditional and AI/ML methodologies. Responsibilities include collaboration, project management, and ensuring compliance with best practices.

As the founding Recommendation Data Scientist, you will develop and implement music discovery systems, conduct experiments, and collaborate with teams to enhance user experience and engagement with music.

Seeking a Data Scientist with expertise in Full stack Development and AWS Architecture for a 3-6 month local project.

As a Senior Data Scientist, you will evaluate revenue growth opportunities, develop analytical frameworks, create executive reports, and ensure data accuracy, influencing business decisions through strong technical execution and communication.

The candidate will analyze complex data to inform business decisions, design customer models, utilize machine learning tools, and collaborate across departments.

Lead and mentor a data science team to design, validate, and deploy ML models for HVAC, leak detection, and energy optimization. Drive MLOps best practices, cross-functional alignment, and product-focused experimentation to deliver scalable, productionized data products.