Top Data Science Jobs

The Senior eCommerce Data Analyst will analyze marketing and customer data, generate reports and dashboards, perform A/B testing, optimize conversion rates, and collaborate with cross-functional teams to drive business decisions based on data insights.

As a Data Scientist for Machine Learning Operations at Enova, you will develop, enhance, and deploy software to build and deploy critical models. The role involves conducting ad hoc analyses, interpreting data, and communicating findings to cross-functional teams while maintaining tools for efficient model lifecycle management.

As a Senior Product Data Scientist at Celonis, you will be responsible for building data-informed insights to support strategic decision-making, developing machine learning models, and collaborating with cross-functional teams to drive data-driven initiatives. You will also play a key role in refining data engineering processes and communicating analytical findings to stakeholders.

As a Computer Systems Analyst Lead, you will analyze and improve computer systems, manage technical projects, and oversee project objectives while engaging with clients and senior management. You'll leverage your domain expertise to guide decisions impacting project implementation and possibly supervise others.

Lead the Artificial Intelligence & Analytics stream as a Senior Data Scientist at Motorola Solutions. Drive AI-related projects, build statistical ML models for business decisions, and translate user requirements into AI solutions. Collaborate with internal teams for project planning, apply statistical analysis methods, and ensure ethical data handling.

The Strategic Data Science Lead drives data-driven initiatives and strategic planning through data collection, analysis, model development, and stakeholder engagement. This role includes developing AI/ML models, conducting feasibility analyses, and collaborating with cross-functional teams to align on strategic objectives.

As a Senior Data Scientist, you will analyze complex data sets related to private markets and alternative investments, develop models, create visualizations, and collaborate with teams to build data-driven products. You will also leverage advanced SQL and work with unstructured data to extract insights.