Cummins Inc. Data Scientist - Demand Analytics in Indianapolis, Indiana
Data Scientist - Demand 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.
Learn more about this role and how you can begin Working Right .
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 Indianapolis, Indiana for a Data Scientist - Demand Analytics. Cummins USA is where you can work on industry leading projects.
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. Collaborate with business stakeholders and leverages business knowledge to gain insights from advanced analytics projects.
Leads key objectives and business goals through the use of data science methodology
Leverages data science methodology to more 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 IT resources 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
Skills and Experience Required
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 solutions.
Manages complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders.
Directs work - Providing direction, delegating, and removing obstacles to get work done.
Drives results - Consistently achieving results, even under tough circumstances.
Education, Licenses, Certifications
College, university, or equivalent degree in statistics, information systems or related field required. PhD or Master’s degree in Statistics, Econometrics, Computer Science, or
equivalent experience preferred
Minimum of 7 years of professional experience
-Significant experience in building, iterating and validating statistical models
-Fluency in R, Matlab, Python or a similar modeling language and in SQL
-Strong working knowledge of data cleaning, machine learning and analytics techniques and experience with large data sets
-Working knowledge of visualization tools (Ex: Tableau)
-Ability to convey rigorous mathematical concepts and considerations to non-experts
Additional Key Responsibilities:
-Process and analyze demand data to build mathematical models to forecast demand at multiple levels and time horizons
-Utilize additional data sources and incorporate into models to drive up demand forecast accuracy where applicable
-Build and operate models by using high-level modeling languages such as R or in software languages such as Python and Matlab
-Calculate and maintain key performance indicators (KPIs: Bias and Accuracy) for the demand forecasts created
-Utilize visualization tools (Ex: Tableau) to create and maintain dashboards of demand forecasts and KPIs for business reviews
-Create, enhance and maintain technical documentation to ensure sustainability of work
Compensation and Benefits
Base salary rate commensurate with experience. 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-Indianapolis-US, IN, Indianapolis, 20 N Meridian
Other Locations United States-Indiana-Columbus-US, IN, Columbus, Sears Building
Job Type Experienced - Exempt / Office
Recruitment Job Type Exempt - Experienced
Job Posting Apr 18, 2019, 5:17:08 PM
Unposting Date Ongoing
Req ID: 190001GH