Position Summary...
What you'll do...
The Senior Data Scientist at Sam's Club AI Labs will spearhead the development of AI and machine learning solutions across our retail domains across operations, merchandising, finance, conversational AI, and e-commerce. Your key focus will be on crafting and deploying machine learning models that drive business value and enhance our member experience. The role will be responsible to manage the full life cycle of projects, build MLOps framework for continuous deployment of data science algorithms, and engage cross-functional teams in an agile environment. This role offers a unique opportunity to merge retail expertise with AI to drive transformative change in our business.
What you'll do
Work a team of talented data scientists and machine learning engineers, collaborating with cross-functional teams in product, business, and engineering to address cutting edge retail problems using AI.
Drive the design and development of innovative ML models and solutions, focusing on retail core domains such as operations, merchandising, finance, conversational AI, and e-commerce.
Manage end-to-end project execution, from planning and data collection to model prototyping and deployment, while effectively communicating with stakeholders and cross-functional partners.
Work closely with the Product and Engineering teams to inform, drive, and accelerate innovations in discovery experiences through insights, frameworks, causal inference solutions, and machine learning proto@types.
Develop and implement a robust MLOps framework to create, build, and deploy data science algorithms, enabling continuous testing and experimentation.
What you'll bring
Passion for problem-solving, come with Analytical mindset with critical-thinking, and data skills.
Expertise in Machine Learning and Data Science
Strong technical skills in SQL, Python, R , or other programming languages commonly used in data analysis.
Deep expertise in Customer Data Science viz . customer segmentation, churn analysis, repeat purchase, market basket, A/B testing, etc.
Awareness of software engineering principles, ability to develop and deploy appropriate analytic code suitable for production.
Working knowledge of CI/CD and MLOps
Experience working with large datasets, finding insights, and telling stories using data.
Good knowledge in working with distributed datastores (e.g., SQL, NoSQL), and Big Data and Cloud technologies like GCP BQ.
Experience in leading and mentoring a team of data scientists.
Understanding of advance ML topics viz. Deep learning (ENN, CNN, RNN, etc.), GAN, Transformers, NLP, LLM's is a plus.
Excellent communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.
Prior experience working in the retail data sets is strongly preferred.
Experience in the design, development and deployment of large-scale production machine learning systems
Skilled in Programming language (Python, Pyspark) and Large-scale training using data structures and algorithms
Extensive experience with machine learning and deep learning packages (scikit-learn, lightGBM, Tensorflow or PyTorch).
Experience with cloud environments including Azure, Google Cloud, etc.
Solid MLOps practices including good design documentation, unit testing, integration testing and source code control (git).
Experienced with agile methodologies using project planning and tracking management tools e.g., JIRA
5 years' experience in building Machine Learning based models in a professional environment
Master degree with 3-year industrial experience or PhD degree with 1-year industrial experience
Additional comments
Ability to identify business requirements, frame into ML problem and solution with right architecture design
Hands on experience in building and maintaining enterprise-grade CI/CD pipelines
Experience deploying applications in GCP and Azure
Large-scale project experience incorporating all levels of architecture development
Background in open-source products in the dev ops and machine learning space
Knowledge of architecture standards and how they relate to data science products
At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet!
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Health benefits include medical, vision and dental coverage
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Financial benefits include 401(k), stock purchase and company-paid life insurance
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Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
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For information about PTO, see https://one.walmart.com/notices .
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Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart (https://bit.ly/3iOOb1J) .
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The annual salary range for this position is $90,000.00-$180,000.00
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Additional compensation includes annual or quarterly performance bonuses.
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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
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, abilities, ideas and opinions- while being inclusive of all people.
