The Walmart Personalization team consists of platform, application engineers, data scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of ecommerce. We are focused on building the global service layer that will enable the end-to-end customer experience, from finding the product to delivering it to the customer. This will span many markets, business models and form factors; therefore, we are looking for data scientists who will bring not only an abundance of experiences in technologies, but an abundant curiosity to innovate.
Come join an organization where you'll get to work as part of a world-class team, solve problems that are at a scale few can create, and get to build products that are only bound by the scope of your imagination. Put your footprint on ground up development focused on building brand new products that will impact a Global customer base.
Problem Formulation: Translating business problems to data-driven or mathematical solutions.
Data Strategy: Identifying, understanding, performing quality-checks, extracting, and applying the proper data to devise a solution to routine business problems that involve a single function.
Analytical Modeling: Selecting the analytical modeling technique most suitable for the structured, complex data and developing custom analytical models and conducting exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data.
Model Assessment & Validation: Identifying the model evaluation metrics and applying best practice for model testing and tuning.
Model Deployment & Scaling: Supporting efforts to ensure that analytical models and techniques used can be deployed into production. Supporting evaluation of the analytical model. Supporting the scalability and sustainability of analytical models.
Guide and mentor junior associates on story types, structures, and techniques based on context.
Manager's Ideal Candidate Must-Haves
PhD in Computer Science, Mathematics, Statistics, Operations Research or related fields or Master's Degree in Computer Science, Mathematics, Statistics, Operations Research or related fields plus 2 year of relevant experience,
Deep knowledge in machine learning and deep learning algorithms, quantitative analysis and statistical techniques,
Proficient with at least one programming language (Python, C++, Java etc) and at least one deep learning platform (Tensorflow, Pytorch, etc)
Experience with big data technologies (Hadoop, Hive, Spark, Hbase, etc.) and data processing pipelines
Strong problem-solving aptitude
Manager's Preferred Qualifications
Prior work experience in recommender systems is a plus
Strong skills in database systems and complex SQL queries is a plus
Some knowledge in basic optimization techniques is a plus
Proficiency in Scala language script a plus
Who We Are
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. 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.
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.
About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service, or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate., 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
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)
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