Data Scientist Principals #IN1291

HITEC; Columbus, Northern (IN, KY); Hybrid; USD 154,000 - 188,000; Full time

Job summary

Cummins is seeking a Lead Data Scientist to drive advanced analytics initiatives across complex business problems. You will design, develop, and deploy ML models to support decision systems, forecasting, anomaly detection, and next-best-action frameworks.

You will liaise with business stakeholders to monetize insights and guide analytics roadmaps with agile best practices. The role requires a Master’s degree (or Bachelor’s with 5 years) in Computer/Data Science or related fields and 3+ years of

Qualifications

• Master’s degree or equivalent plus 3 years of related experience, or Bachelor’s with 5 years, in data science or analytics.
• Experience with statistical modeling, machine learning, and causal inference methods.
• Ability to deploy end-to-end analytics, including data pipelines and model lifecycle management.
• Experience communicating complex results to business stakeholders.

Responsibilities

• Lead analytics initiatives to solve business problems using ML and statistical methods.
• Develop and deploy ML models for decision support and forecasting.
• Mentor junior engineers and analysts in data science practices.

Skills

Advanced analytics

Quantitative problem solving

Statistical modeling

Machine learning

Communication

Agile practices

Technical leadership

Education

Master’s degree in Computer/ Data Science/ IT or related field

Bachelor’s degree with 5 years of related experience

Tools

Distributed data processing frameworks

Job description

Lead advanced analytics initiatives to solve complex business problems using quantitative analysis, statistical modeling, and machine learning techniques. Design, develop, and deploy machine learning models to support decision systems, recommendation and next best action frameworks, anomaly detection, pattern recognition, and forecasting/time series analysis. Liaise with business stakeholders and leverage knowledge to industrialize and monetize insights from advanced analytics projects. Research, implement, and validate advanced analytical and algorithmic methods, including causal inference, impact measurement, predictive modeling, clustering, and optimization techniques, to quantify business outcomes and evaluate the effectiveness of data driven interventions. Apply statistical inference and data mining techniques to analyze large, diverse datasets and identify meaningful relationships, trends, and drivers of performance. Develop and support scalable, end to end analytics and machine learning solutions, including data processing pipelines and model lifecycle management practices, using commonly used programming languages and distributed data processing frameworks. Support both batch and near real time/streaming data processing in a cloud based analytics environment. Design and maintain modern data platform architectures, including lakehouse style data architectures, with responsibilities for data quality, schema management, and governance controls. Utilize sampling methods and experimental or quasi experimental approaches as needed to support research, analysis, and decision making. Translate analytical results and model insights into clear business language, communicate findings to technical and non technical stakeholders, and partner with domain experts to ensure alignment with business objectives. Lead requirements analysis, assess interdependencies and priorities, and align analytics initiatives with strategic roadmaps and organizational goals. Apply Agile software development practices to design, develop, and enhance analytics solutions. Provide technical leadership and mentorship to less experienced engineers or analysts on data science methodologies, machine learning solution design, and best practices for scalable analytics systems.

Positions require a 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, the employer will accept a Bachelor’s degree in Computer or Data Science, Business or Data Analytics, Information Technology or related field and 5 years of experience as a Data Scientist, Data Analyst, IT Consultant or related position. Experience to include: Advanced analytics and quantitative problem solving; Statistical modeling and statistical inference techniques; Machine learning models; Decision systems and recommendation/next-best-action frameworks; Anomaly detection and pattern recognition; Predictive modeling, clustering, and time-series forecasting analysis; Causal inference and business impact measurement methods; Data mining and relationship analysis on large datasets; End-to-end machine learning pipelines and model lifecycle management; Scalable data processing using distributed data processing frameworks; Batch and near real-time/streaming data processing; Modern data platform architectures, including lakehouse-style data architectures; Agile software development practices and technical leadership.

Start Date of Posting : 10/8/26

End Date of Posting : 10/23/26

Location: Columbus, IN 47201 & various unanticipated worksites throughout the U.S .

Position : REMOTE

*Annual USD Salary Minimum – Maximum

$131,000 - $178,000

Min Salary $153540

Max Salary $187660

100% On-Site No

As Cummins continues to grow, you'll be provided with continuous learning opportunities, supportive benefits and a culture that values your wellbeing, safety and work-life balance. Here, you'll have the power to determine your future with innovative technology, a focus on sustainability and with a company positioned for long-term growth.