Cummins US & Canada

Job Information

Cummins Inc. Principal Data Scientist - Quality Analytics in Columbus, Indiana

Principal Data Scientist - Quality Analytics


Cummins is a place big enough to coach and develop a global workforce and create the world’s leading clean, engine technology. We’re also small enough for you to find your fit and personal passion with a team of dependable, innovative thinkers who are developing their careers within a diverse, inclusive, empowering environment.

Our Cummins team delivers reliable, durable, high performing products to our global partners. Working in an innovative space, you’ll develop high tech solutions that will fuel your advanced career skill set and empower you to own your career. Our integrated businesses demand the talents and creativity of individuals with a wide range of skills and experience.

This is an exciting opportunity in Columbus, Indiana for a Principal Data Scientist - Quality Analytics.

Your impact will happen in these and other ways:

Manages and Implements advanced analytics projects which solve complex analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills.

Researches, designs, implements and validates cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques.

Liaises with business stakeholders and leverages business knowledge to industrialize and monetize

insights from advanced analytics projects.

Leads key objectives and business goals through the use of data science methodology.

Leverages data science methodology to solve complex business problems.

Creates algorithms using more complex statistical methodologies through the use of statistical programming languages and tools.

Partners with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language.

Partners with Solution Architect to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products.

Trains and mentors less experienced employees on data science tools and methodologies.

Continuous development and advancement of the organization through knowledge sharing and collaboration.

Participates in planning for advancement of the Data Science profession.



Programming - Creates, writes and tests computer code, test scripts, and build scripts using algorithmic analysis and design, industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements.

Data Mining - Extracts insights from data by identifying relationships and patterns through use of a suite of data exploration and data visualization techniques to understand the underlying structure of the data and enable sound conclusions upon model building.

Predictive Modeling - Develops analytical or machine learning models by using appropriate variable transformations, feature selection strategies, imputation strategies, class rebalancing, resampling strategies and quality control measures to generate predictive insights used in solving business questions.

Statistical Modeling - Develops descriptive and explanatory statistical models, and simulations for regression, classification, outlier detection, anomaly detection, time series forecasting using knowledge of foundational statistics such as null hypotheses significance tests, regression models, generalized linear modeling, time series analysis, rank statistics, probability distribution fitting survival analysis, etc. to validate hypotheses for any given statistical or business question.

Problem Solving - Solves problems using a systematic analysis process by leveraging industry standard methodologies to create problem traceability and protect the customer; determines the assignable cause; implements robust, data-based solutions; identifies the systemic root causes and recommended actions to prevent problem re-occurrence.

Requirements Analysis - Evaluates relationships and interdependencies between requirements based upon their complexity and value to the business in order to determine feasibility and prioritization.

Strategic Roadmap Planning - Produces a high-level, multi-year product and capability roadmap utilizing internal and external business resource, asset and market knowledge and experience to communicate the organization's focus and priorities to internal and external stakeholders.

Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications.

Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.

Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.

Develops talent - Developing people to meet both their career goals and the organization’s goals.

Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.

Education, Licenses, Certifications

College, university or equivalent degree or equivalent work experience in relevant technical discipline is required.


Significant experience in a relevant discipline area is required with a demonstrated track record of analyzing complex business systems and large data sets. Knowledge of the latest technologies and trends in data science is highly preferred and includes:

  • Familiarity analyzing complex business systems, industry requirements, and/or data regulations

  • Background in processing and managing large data sets

  • Applied knowledge of big data, open source and third party toolsets

  • SQL query language

  • Clustered compute cloud-based implementation experience

  • Experience in building analytical solutions

  • Experience coaching on implementation of machine learning solutions

Significant experiences in the following are preferred:

  • Designing and implementing Big Data platform solutions using open source and third-party tools

  • Microsoft Azure and/or Amazon Web services environment

  • Experience in Agile software development

  • Familiarity with validation and testing of machine learning systems

  • Familiarity with Continuous Integration and Continuous Delivery (CI/CD)

  • Uses data science tools and techniques in quality analytics proof of concept projects using traditional and new data sources that lead to business insights

  • Participates and contributes in cross-functional teams in product quality related projects by using a combination of statistical, mathematical and machine learning techniques

At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates right to work using E-Verify.

Cummins will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. To learn more about E-Verify, including your rights and responsibilities, please visit .

Ready to think beyond your desk? Apply for this opportunity and start your career with Cummins today.

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Primary Location United States-Indiana-Columbus-US, IN, Columbus, 301 Irwin Building

Job Type Experienced - Exempt / Office

Recruitment Job Type Exempt - Experienced

Job Posting Jul 9, 2020, 10:05:37 AM

Unposting Date Ongoing

Req ID: 20000132