Top Senior Level Data Science Jobs in Chicago, IL

The role involves leading advanced analytics initiatives, solving business problems through techniques like optimization and machine learning, creating detailed reports and dashboards, collaborating with various partners to meet business needs, managing multiple priorities, and enhancing processes for workflow efficiency.

The Machine Learning Scientist will lead data-driven decision-making processes through the development of predictive modeling algorithms, code tools using machine learning, integrate new data sources, and assist in mentoring junior data scientists. They will also manage medium to high complexity projects.

The Sr. Scientist in Transformation will lead R&D communication, documentation, and collaboration efforts. Responsibilities include managing enterprise knowledge subscriptions, guiding teams in knowledge capture, orchestrating R&D Townhalls, and driving digital initiatives to enhance information accessibility and insights.

Ontra is hiring a Staff Data Scientist to propel the future of legal tech AI using data. The Staff Data Scientist will work with product stakeholders to identify areas where data insights can provide business value, lead data projects, influence product development, democratize data insights, inform strategy, serve as a subject-matter expert, and be a technical mentor.

As a Senior Consultant at Analytics8, you will work with a variety of companies, managing and implementing BI and DWH projects. You will be responsible for managing small projects, gathering customer requirements, mentoring junior consultants, and contributing to upsell opportunities. The role requires advanced knowledge of BI/DW development methodologies, SQL, and experience with data engineering and analytics tools. Strong communication and project management skills are essential.

Build predictive models, analyze data trends, support model implementation, develop tools, establish metrics, conduct A/B testing, collaborate with teams, and communicate strategies.

Lead the development and implementation of statistical and machine learning models for business decisions and product management. Collaborate with internal clients to propose data-driven recommendations and improve member experience. Provide analytical inputs for policy development and business plans. Present analysis results to leadership. Acquire and integrate data from multiple sources for predictive analytics.