Data Scientist

• Develop intimate knowledge of IntelliScript’s current product capabilities
• Provide advanced analytical expertise to enhance products through new solutions
• Construct, validate, document, and deliver sophisticated GenAI and machine learning solutions for healthcare-related problems
• Research, develop, deploy, and maintain traditional AI/ML models following industry best practices
• Work extensively with available GenAI models
• Construct GenAI solutions for internal and external use cases across markets
• Enhance internal capabilities through centralized internal tooling and thought leadership
• Coordinate with data scientists, Product, Business Development, ML Engineering, and IT teams to bring data science products to market
• Support existing industry-leading products
• Drive best practices and continuous improvement on the data science team
• Participate in model design and experimentation strategy through planning, audit, peer review, and coaching
• Develop and implement commercially viable model-based solutions for healthcare, insurance, life sciences, and adjacent markets

Senior Data Scientist – IntelliScript

• Work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making
• Lead exploratory data analysis to cull actionable insights
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Develop and implement statistical and machine learning models
• Fine-tune, optimize and ensure the scalability of models and algorithms
• Aid in designing experiments to answer targeted questions
• Identify and drive continuous improvement of key business metrics in an assigned business functional area
• Drive adoption and usage of data science products and models
• Translate data science outputs into business outcomes and value delivered
• Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development
• Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s
• Design and support deployment of machine learning models to power personalized experiences across digital channels
• Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives
• Develop multi-stage ranking approaches, including candidate generation and re-ranking
• Address cold-start and long-tail challenges in large product catalogs
• Partner with engineering to support real-time personalization and scalable deployment
• Additional tasks may be assigned

Senior Data Scientist

• Produce scholarship in an important area of social work research
• Advance interdisciplinary AI and Data Science research at UWM
• Collaborate with the Northwestern Mutual Data Science Institute to address real-world challenges
• Innovate and expand AI and Data Science educational programs
• Collaborate with community and governmental organizations through research and student engagement
• Contribute to teaching and service as a tenure-line faculty member

Associate/Full Professor, Social Work, AI & Data Science Cluster

• Apply statistical analysis, data modeling, and machine learning techniques to transform data into actionable business and engineering insights
• Develop intelligent solutions using predictive analytics, machine learning, computer vision, and generative AI technologies
• Build and maintain data pipelines, databases, and analytics platforms
• Use connected product, manufacturing, test, and operational data to improve product performance, reliability, customer experience, and business outcomes
• Design, validate, and bring new products to market
• Support new product development in generator or power tool product areas
• Create and maintain CAD models, drawings, and bills of materials
• Support product development plans, including schedules, product costs, and design inputs
• Interface with internal company personnel and provide technical support for assigned projects
• Specify functional requirements; design, test, and integrate standard components
• Evaluate design effectiveness, cost, reliability, and safety
• Design, execute, and evaluate fitness-for-use testing, product specifications, and process validation plans
• Collaborate with manufacturing partners, contract manufacturers, designers, and product specialists to optimize designs for manufacturability
• Use CAD or CAE systems to model designs and produce detailed engineering drawings
• Travel to other Generac facilities as necessary
• Perform other duties as assigned

Data Science Intern

• Develop reproducible workflows, analyses, dashboards, and reports for research and operational decision-making
• Document analytical methods and maintain reproducible research workflows and standards
• Apply statistical analysis, machine learning, AI, and data mining techniques
• Design and implement automated data preparation, analysis, and reporting processes
• Prepare, clean, validate, transform, and integrate datasets
• Document approaches to address research questions
• Compose reproducible workflows and reports to articulate patterns to researchers and administrators
• Organize and automate project steps for data preparation and analysis
• Assist the principal investigator with hiring, training, and supervision of students and staff
• Participate in national and international meetings to disseminate research
• Assist faculty with education and mentoring of research students