SkillsStatistical 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.
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.
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 reoccurrence.
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.
Customer focus - Building strong customer relationships and delivering customer-centric solutions.
Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
Decision quality - Making good and timely decisions that keep the organization moving forward.
Requirements Analysis - Evaluates relationships and interdependencies between requirements based upon their complexity and value to the business in order to determine feasibility and prioritization.
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.
Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications.
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
Education, Licenses, CertificationsCollege, university or equivalent degree or equivalent work experience in relevant technical discipline is required.
Intermediate experience in a relevant discipline area is required with a demonstrated track record of analyzing complex business systems and large data sets.
- 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
Intermediate experiences in the following are preferred:
- 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)
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 www.dhs.gov/E-Verify .
Ready to think beyond your desk? Apply for this opportunity and start your career with Cummins today.