This role involves leading advanced analytics initiatives to address complex business challenges through quantitative analysis and machine learning techniques. The position requires collaboration with business stakeholders to industrialize insights from analytics projects. The focus is on developing and deploying machine learning models to enhance decision-making frameworks and support data-driven interventions. The candidate will also be responsible for mentoring less experienced team members and ensuring alignment with organizational goals.

• Master's degree in Computer or Data Science, Business or Data Analytics, Information Technology or related field and 3 years of experience as a Data Scientist, Data Analyst, IT Consultant or related position.
• Alternatively, a Bachelor's degree in the same fields and 5 years of relevant experience will be accepted.
• Experience in advanced analytics and quantitative problem solving.
• Proficiency in statistical modeling and statistical inference techniques.
• Knowledge of machine learning models and decision systems.

• Lead advanced analytics initiatives to solve complex business problems.
• Design, develop, and deploy machine learning models for various applications.
• Liaise with business stakeholders to leverage insights from analytics projects.
• Research and implement advanced analytical methods to evaluate business outcomes.
• Develop and support scalable analytics and machine learning solutions.

• Employees at Cummins are often offered comprehensive benefits that support financial wellness (retirement savings/401(k) or pension options and profit-sharing), health and wellness (medical, dental, life insurance, FSAs), and professional growth through training and tuition reimbursement—sometimes including full education funding. Work-life perks commonly include paid vacation and holidays, parental leave and adoption assistance, flexible work arrangements, inclusion-focused programs, and paid volunteer time to give back to the community.