Data Scientists - Senior #IN1229

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<strong>Description<br><br></strong>Resolve complex analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills. Research, design, implement and validate complex algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts. Leverage advanced analytics and data science to solve complex business problems and understand underlying insights into product and / or customer requirements. Build analytical machine learning solutions that predict and influence customer operating experience. Partner with domain experts to verify model capability’s and with IT resources to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and inform the design of analytical products. Identify relationships with patterns in data by using a suite of data exploration and data visualization techniques using tools such as PowerBI, Databricks, Excel and Python and extracts insights into multivariate data by applying principles of multivariate data mining, small sample statistical inferential tests, dimension reduction techniques to understand the underlying structure of the data and enable sound conclusions upon model building. Synthesize current business intelligence or trend data to support recommendations for action. Develop applications for a Cloud-based environment and data extraction tools from variety of sources using experience with Big Data technologies including SQL query language and PySpark. Collect business intelligence data from available industry reports, public information, field reports, or purchased sources. Identify and analyze industry or geographic trends with business strategy implications. Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders. Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs. Conduct or coordinate tests to ensure that intelligence is consistent with defined needs. Analyze complex automotive and commercial vehicle business systems, industry requirements and data regulations. Process and manage large data sets for vehicle and engine systems. Perform comprehensive Requirements Analysis to evaluate relationships and interdependencies between requirements based upon their complexity and value to the business in order to determine feasibility and prioritization. Utilize Agile software development methodologies to manage projects such as software development and advanced analytics product development to increase productivity and deliver products that meet value to customers. Lead classroom instruction on data science topics to non-data scientist employees and coach employees wanting to learn and apply data science skills on a hands-on project that has business value. Responsible for managing junior data scientists associated with the program. Provide guidance to employees in a corporate environment and meet corporate expectations for performance and development goal setting and assessment.<br><br><strong>Responsibilities<br><br></strong>Positions require a Master’s degree in Computer or Data Science, or related field and 2 years of experience as a Data Analyst, Data Scientist or Data Analytics, or related position. Alternatively, the employer will accept a Bachelor’s degree in Computer or Data Science, or related field and 5 years of experience as a Data Analyst, Data Scientist or Data Analytics, or related position. Experience to include: Statistical and predictive modeling concepts; Building analytical machine learning solutions to solve complex product support problems and understanding underlying insights into product and / or customer requirements; Data visualization techniques using tools such as PowerBI, Databricks, Excel and Python; Multivariate data mining; Develop applications for a Cloud-based environment; Big Data technologies including SQL query language and PySpark; Analyze complex business systems, industry requirements and data regulations; Requirements Analysis; Agile software development methodologies; Lead classroom instruction on data science topics and manage junior data scientists for performance, development goal setting and assessment.<br><br><strong>Qualifications<br><br></strong>Start date of posting: 11/06/2025<br><br>End date of posting: 11/21/2025<br><br>Position: On-site<br><br>Location: Columbus, IN<br><br><ul><li>Annual USD Salary Minimum – Maximum<br><br></li></ul>$115,419 – $130,200<br><br><strong>Job</strong> Systems/Information Technology<br><br><strong>Organization</strong> Cummins Inc.<br><br><strong>Role Category</strong> Remote<br><br><strong>Job Type</strong> Exempt - Entry Level<br><br><strong>Min Salary</strong> $<br><br><strong>Max Salary</strong> $<br><br><strong>Application End Date</strong> 22-NOV-2025<br><br><strong>ReqID</strong> 2421450<br><br><strong>Relocation Package</strong> Yes<br><br><strong>Cummins and E-Verify<br><br></strong>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 the right to work using E-Verify and 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. Visit http://EEOC.gov to know your rights on workplace discrimination.

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