Enterprise Data Scientist at Core Main

Job Summary
Working as a collaborative member of our team, you will use data science and machine learning techniques to help drive deep data analysis and uncover insights that will enable the business to make strong and strategic decisions. You will work with data engineers, data analysts, business experts, and external vendors to initiate our machine learning journey at Core & Main. Working cross-functionally to answer complex questions with data increasing efficiencies and improving customer experience. This role requires effective communication skills, relationship building and a focus on the overall business.Bring CREATIVE energy to the team. This person should enjoy working independently and turn failure into opportunity for improvement. Associate should be comfortable and confident in independent work and in risk taking. Based on our evolution this role will be provided the opportunity to grow as an expert in more than one data science specializations, such as optimization, computer vision, recommendation, search or NLP.
Major Tasks, Responsibilities and Key Accountabilities
Extract data from various databases; performs exploratory data analysis, cleanses, massages, and aggregates dataEmploy scaling & automation to data preparation techniquesDetermine analytics approach to solve business problems; incorporate advanced analytical methodologies including machine learning algorithms where appropriateFormulate some business problems into ML problems, owning the complete end-to-end ML/AI workflow and training ML modelsHelp identify value-driven opportunities to implement and embed ML/AI models in analytics workloads, data services and enterprise applicationsDesign and develop algorithms and models to use against large datasets to create business insightsTransform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.Ensure that developed codes are documented into a library of reusable algorithms.
Preferred Qualifications
Self-starter, attention to details and results orientated, able to work under minimal guidance.Proficient in communicating effectively with both technical and nontechnical stakeholders.Proficient utilizing statistical techniques to identify key insights that help solve business problemsAbility to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activitiesAdvanced competency and expertise in Python, R or other similar platformsStrong SQL, database and ETL skills including cleaning and managing data.Minimum of 3+ years in data science.Ability to educate others on statistical / machine learning methodsStrong background working with predictive and statistical modeling, machine learning and strong expertise in all phases of the modeling pipelineExperience building complex data sets from multiple data sources, both internally and externally.Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science, or similar discipline.
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About Core & Main
Based in St. Louis, Core & Main is a leading distributor of water, sewer, storm drain and fire protection products in the United States. Operating approximately 275 branches nationwide, the company combines local expertise with a national supply chain to provide contractors and municipalities innovative solutions for new construction and aging infrastructure. Core & Main’s 3,500 plus associates are committed to the safe distribution of water and fire protection to help communities thrive. Visit www.coreandmain.com to learn more.
Core & Main is an Equal Employment Opportunity employer. Employment at Core & Main is based solely on a person’s merit and qualifications directly related to professional competence.  Core & Main does not discriminate against any employee or applicant on the basis of race, creed, color, religion, national origin, nationality, ancestry, age, disability, veteran status, pregnancy or related condition (including breastfeeding), affectional or sexual orientation, gender identity or expression, marital status, status with regard to public assistance, citizenship, or any other basis protected by law.
None of the questions in this application are intended to elicit information regarding any protected characteristics, nor imply any limitation, illegal preferences or discrimination based upon non-job-related information or protected characteristics.
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