Sam's Club
Senior, Data Scientist
Sam's Club, Bentonville, Arkansas, United States, 72712
Position SummaryAs a Senior Data Scientist on the Supply Chain team, you'll be based in Bentonville, AR and will provide strategic and analytic support for the supply chain business, product managers, operations and merchandising teams at Sam's Club. You'll focus on using data and analyses to uncover problems and inform critical business decisions.Supply Chain at Sam's Club is all about delivering plans that help provide our members with the products they want, where they want them, at the best price possible. To accomplish this, associates must think critically and create efficiencies, using data and experience to overcome complex challenges. We invite you to join the Sam's Club Supply Chain Team; a quick moving group of motivated individuals with skills ranging from data analytics to strategy and execution. Together we will design the supply chain of the future and improve our members' lives.What you'll do...
Understand Business Context: You'll work with supply chain leadership and business stakeholders to understand strategic plans and requirements as well as current and anticipated pain points. You'll develop hypotheses to solve these complex business issues that can be tested with data analysis and models.Identify data sources and scenarios for your business: You'll categorize and extract relevant data to perform initial data quality checks.Formulate Technical Solutions: You'll translate the business problems to data related or mathematical solutions, conduct exploratory data analyses, identify and leverage appropriate methods/tools to provide a solution and share use cases/examples to demonstrate how it would solve the business problem.Drive the data strategy: You'll define, articulate and apply the strategy that's driven by data enabled insights/decisions to unlock the monetary value of data assets.Build, Assess & Validate Models: You'll select the analytical modeling technique most suitable for the problem, engineer the inputs and features, layer predictive and optimization models, test and tune models and model ensembles to assess optimality, accuracy, validity, and robustness.Develop & Test Code: You'll write and test code to develop solutions and application features.Deploy & Scale Models: You'll build prototype solutions with the analytical models, deploy them to production in a scalable and sustainable manner.Build Data Visualizations: You'll develop data visualizations to explore data, model outcomes, and business scenarios. You'll build and deploy dashboards, and define the workflows for users to gain insights and take appropriate business decisions and actions.What you'll bring...
A Master's degree or Ph.D. in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics or related field.4+ years of experience in data science, machine learning, optimization models, or related field, 6+ years preferred.Experience in data source identification, working with database technologies, distributed datastores (e.g. SQL, NoSQL) and existing business systems and processes.An understanding of business value, data relevance, and appropriate application of the data ecosystem including data management, data quality standards, data governance, accessibility, storage and scalability, etc.Knowledge of variable and feature impact on model performance and understanding of servers and formats for model storage.Use of coding languages like SQL, Python, R and others to run data analyses and develop models.Use of Operations Research optimization techniques (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) as well as other classical optimization techniques (e.g. Newton-Raphson methods, Gradient descent) and familiarity with commercial solvers (e.g. CPLEX, Gurobi).Exploratory data analysis techniques and advanced statistical method modelling (e.g. graphical models, Bayesian inference, basic level of NLP, neural networks, SVM, Random Forest etc.).Comfort level with model fit testing, tuning, and validation techniques (e.g. Chi square, ROC curve, root mean square error etc.).Familiarity with multiple data visualization tools (i.e. Python, R libraries, GGplot, Matplotlib, Plotly, Tableau, PowerBI etc.) and use of advanced visualization techniques to communicate and influence.Experience in analytics consulting, data-based storytelling and presenting findings to business teams in a relatable way.Deep expertise in analytics/big data analytics/automation techniques and methods.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.Benefits & Perks
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.Who We Are
Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, operating nearly 600 clubs in the US and more than 200 internationally. By offering affordable, wholesale merchandise to members, you'll help make saving simple for families and small business owners. Yes, we are a division of the Fortune #1 company, Walmart, Inc. and you'll quickly find that we're a company that wants you to feel comfortable bringing your whole self to work. A career at Sam's Club is where the world's most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our clubs. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you'll be empowered and equipped to do the best work of your life.Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.Option 3 - 5 years' experience in an analytics or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.Successful completion of one or more assessments in Python, Spark, Scala, or R.Using open source frameworks (for example, scikit learn, tensorflow, torch).We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America
#J-18808-Ljbffr
Understand Business Context: You'll work with supply chain leadership and business stakeholders to understand strategic plans and requirements as well as current and anticipated pain points. You'll develop hypotheses to solve these complex business issues that can be tested with data analysis and models.Identify data sources and scenarios for your business: You'll categorize and extract relevant data to perform initial data quality checks.Formulate Technical Solutions: You'll translate the business problems to data related or mathematical solutions, conduct exploratory data analyses, identify and leverage appropriate methods/tools to provide a solution and share use cases/examples to demonstrate how it would solve the business problem.Drive the data strategy: You'll define, articulate and apply the strategy that's driven by data enabled insights/decisions to unlock the monetary value of data assets.Build, Assess & Validate Models: You'll select the analytical modeling technique most suitable for the problem, engineer the inputs and features, layer predictive and optimization models, test and tune models and model ensembles to assess optimality, accuracy, validity, and robustness.Develop & Test Code: You'll write and test code to develop solutions and application features.Deploy & Scale Models: You'll build prototype solutions with the analytical models, deploy them to production in a scalable and sustainable manner.Build Data Visualizations: You'll develop data visualizations to explore data, model outcomes, and business scenarios. You'll build and deploy dashboards, and define the workflows for users to gain insights and take appropriate business decisions and actions.What you'll bring...
A Master's degree or Ph.D. in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics or related field.4+ years of experience in data science, machine learning, optimization models, or related field, 6+ years preferred.Experience in data source identification, working with database technologies, distributed datastores (e.g. SQL, NoSQL) and existing business systems and processes.An understanding of business value, data relevance, and appropriate application of the data ecosystem including data management, data quality standards, data governance, accessibility, storage and scalability, etc.Knowledge of variable and feature impact on model performance and understanding of servers and formats for model storage.Use of coding languages like SQL, Python, R and others to run data analyses and develop models.Use of Operations Research optimization techniques (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) as well as other classical optimization techniques (e.g. Newton-Raphson methods, Gradient descent) and familiarity with commercial solvers (e.g. CPLEX, Gurobi).Exploratory data analysis techniques and advanced statistical method modelling (e.g. graphical models, Bayesian inference, basic level of NLP, neural networks, SVM, Random Forest etc.).Comfort level with model fit testing, tuning, and validation techniques (e.g. Chi square, ROC curve, root mean square error etc.).Familiarity with multiple data visualization tools (i.e. Python, R libraries, GGplot, Matplotlib, Plotly, Tableau, PowerBI etc.) and use of advanced visualization techniques to communicate and influence.Experience in analytics consulting, data-based storytelling and presenting findings to business teams in a relatable way.Deep expertise in analytics/big data analytics/automation techniques and methods.The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.Benefits & Perks
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.Who We Are
Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, operating nearly 600 clubs in the US and more than 200 internationally. By offering affordable, wholesale merchandise to members, you'll help make saving simple for families and small business owners. Yes, we are a division of the Fortune #1 company, Walmart, Inc. and you'll quickly find that we're a company that wants you to feel comfortable bringing your whole self to work. A career at Sam's Club is where the world's most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our clubs. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you'll be empowered and equipped to do the best work of your life.Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.Option 3 - 5 years' experience in an analytics or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.Successful completion of one or more assessments in Python, Spark, Scala, or R.Using open source frameworks (for example, scikit learn, tensorflow, torch).We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America
#J-18808-Ljbffr