Cummins Inc. Senior Data Scientist - Principal in Columbus, Indiana
Senior Data Scientist - Principal
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.
Learn more about this role and how you can begin Working Right.
Our Business Unit 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, IN for a Principal Data Scientist.
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.
Abstract Reasoning - Envisions a solution before implementation by analyzing data, extracting patterns and relationships to establish a problem or solution's feasibility; develops new algorithms and analytical models using process diagrams, flow charts, and textual documentation to explain or conceptualize a complex problem.
Data Mining - Identifies relationships and patterns in data by using a suite of data exploration and data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP, 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.
Predictive Modeling - Develops statistical and machine learning models using appropriate variable transformations, feature selection strategies, imputation strategies, class rebalancing, resampling strategies and performance metrics to generate descriptive, explanatory or predictive models.
Statistical Foundations - Builds statistical explanatory models 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 or generate predictions for any given statistical or business question.
System Simulation - Creates models of interconnected systems under dynamic operating conditions using mathematical models for physical and mechanical systems (such as Markov chains and Monte Carlo methods) and various simulation packages to reproduce the behavioral characteristics of the system(s) being simulated and to gain insight into how the system(s) reacts under different operating conditions.
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.
Customer focus - Building strong customer relationships and delivering customer-centric
Education, Licenses, Certifications
Bachelor’s degree in maths/analytics/Engineering or other relevant technical disciplines is required.
Prior Senior or Lead role with 7 plus years work experience in a relevant discipline area is required with a demonstrated track record of technical problem solving and quality decision making. 4 -5 years’ experience with master’s degree will be considered. Knowledge of MS Office tools are preferred.
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
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)
Compensation and Benefits
Salary commensurate with experience plus bonus. Additional benefits vary between locations and include options such as our 401(k) Retirement Savings Plan, Cash Balance Pension Plan, Medical/Dental/Life Insurance, Health Savings Account, Domestic Partners Coverage and a full complement of personal and professional benefits.
Cummins and E-verify
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.
Ready to think beyond your desk? Apply for this opportunity to start your career with Cummins today. careers.cummins.com
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Job SYSTEMS/INFORMATION TECHNOLOGY
Primary Location United States-Indiana-Columbus-US, IN, Columbus, 301 Irwin Building
Job Type Experienced - Exempt / Office
Recruitment Job Type Exempt - Experienced
Job Posting Mar 24, 2020, 7:35:35 AM
Unposting Date Ongoing
Req ID: 200000BX