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.
RESPONSIBILITIES
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.
QUALIFICATIONS
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
Cummins is an equal opportunity employer. Our policy is to provide equal
employment opportunities to all qualified persons without regard to race, sex,
color, disability, national origin, age, religion, union affiliation, sexual
orientation, veteran status, citizenship, gender identity, or other status
protected by law.