- Software Development
- Natural Language Processing
- Microsoft SQL Server
Core & Main (www.coreandmain.com) is responsible for making sure our nation’s infrastructure has good bones; we help channel water to keep you healthy and safe. From waterworks to fire protection products, we deliver dependable expertise to build strong relationships and strong communities.
Gain hands-on experience in information technology, sales, operations, finance, logistics, development, merchandising, and/or other departments by delivering data models and data driven solutions to support Core & Main’s Warehouse Management Automation initiative. The Internship will include three opportunities to present to leadership, including a final presentation to include a project success summary.
Major Tasks, Responsibilities and Key Accountabilities
Build and implement data driven solutions using analytical, statistical and programming skills to collect, analyze and interpret large data sets to improve business outcomes of our Warehouse Management System implementation.
Work with IT Data and Analytics to establish a framework for providing insights from SQL Server Enterprise Ddata Warehouse, ERP and other data sources.
Work with Financial Planning & Analysis team to identify opportunities in the Order-to-Fulfillment domain, potentially impacting Planning and Forecasting of Inventory .
Introduce predictive modeling in forecasting, process optimization and decision support.
Design unit and business process tests for validation of data analysis
Execute data cleansing and data standards tests to ensure analysis is error free
Nature and Scope
Works in compliance with established procedures and/or protocols. Will follow Agile approach to software development lifecycle.
Nature of work requires general supervision; exercises judgment. Will be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
Typically requires overnight travel less than 10% of the time.
Must be eighteen years of age
Must pass the Drug Test
Must pass the Background Check
Must pass pre-employment tests if applicable
Education and Experience
Experience with integration and cleansing of disparate or incomplete data sets to deliver insight Effective use of front end reporting and visualization tools.
Educational exposure, including project work with RPA tools like UiPath, Automation Anywhere, Work Fusion, and Artificial Intelligence frameworks.
Knowledge of modern data architecture, data modeling and analytical platforms
Undergraduate or graduate student majoring in a field such as Statistics, Data Science or Computer Science
Demonstrated superior academic performance and strong analytical skills.
Solid track record of results-oriented leadership.
Strong working knowledge of basic statistical concepts such as point estimation, probability distributions, hypothesis tests, and how they can be applied
Familiarity with one or more of disciplines such as Natural Language Processing, Anomaly detection, Markov Chain and Monte Carlo (MCMC) methods, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing
Understanding of software development principles
Experience with statistical programming languages (R, Python, etc.) and database languages (SQL)
Candidate is passionate about a career in IT!
Ability to quickly adapt to a changing environment
Candidate should be a self-motivated, independent, detail oriented, responsible team player
Strong communication skills, both written and oral
Ability to multi-task and support multiple priorities
Strong Analytical and Problem Solving Skills
Excellent teamwork and interpersonal skills
Ability to handle multiple clients and multiple team members with confidence
Ability to summarize complex data/results to business stakeholders