Staff Data Scientist, (Store No. 8)

Position Summary...
What you'll do...
About Store N o 8
We are the incubation arm of Walmart. Store N o 8 was formed in 2017 as part of Walmart's larger innovation mission to shape the future of commerce. We pursue big ideas and take risks by stepping outside of Walmart's core business to focus on leapfrog capabilities across conversational commerce, mixed reality, in-store digitization, and more. Our ultimate goal: fuel Walmart's core business, create new operational efficiencies, and unlock amazing experiences for our customers in the long-term.
About the Role
As a Data Scientist for one of our Store N°8's portfolio companies, your focus will be finding trends in data sets and developing next-generation algorithms to make the data useful for projects within our incubator to create new customer experience. You will partner with engineering, product, business, UX/UI, and operations. You will need to be a self-starter with a bias for action and excellent communication skills.
This is a rare opportunity, moving at the speed of a start-up, with the backing and in house data (lots of data) of the Fortune 1 company. You will bridge the art of what's possible across today's rapidly evolving consumer & food landscape.
What You Will Do:

• Data Strategy: Understands, articulates, and applies principles of the defined strategy to business problems
• Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data
• Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem.
• Analytical Modeling: Selects appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets. Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Creates continuous, online model learning along with iterative model enhancements. Develops newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in AI/ML to train algorithms to apply models to new data sets.
• Model Assessment & Validation: Identifies the model evaluation metrics. Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles.
• Communication: Presents to and influences the team and business audience using the appropriate frameworks and conveys clear messages through business and stakeholder understanding

What You Will Need:

• Master's or PhD degree in STEM or relevant filed; Math, Statistics, Data Science, Analytics, AI/ML, Computer Science, Software/Data Engineering, or a related field.
• 6+ years' professional experience in applying statistical and machine learning techniques such as hypothesis testing, time series analysis, classification, regression, and clustering to business problems.
• 6+ years' professional experience in performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
• Extensive experience with machine learning and deep learning packages (scikit-learn, lightGBM, Tensorflow or PyTorch).
• Experience with at least one programming language (e.g., Python, Java, C++).
• Experience in presenting findings from statistical and machine learning methods to diverse audiences through effective communication.
• Experience in executing on the full life cycle of projects through project planning, data collection, model prototyping and deployment, with responsibilities encompassing stakeholder management and communication to cross-functional partners.
• Experience in food and retail environment, ideally worked for a retailer / retail tech or food (tech) company.
• Proficiency in data structures and algorithms.
• Excellent in dismantling business problem/question, complex or simple, into required information/analysis and action that can address the problem/question.
• Thrives in fast-paced start-up environment, including balancing multiple projects and dealing with ambiguity.

Perks and Benefits
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.
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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.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, PhD 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)
Primary Location...
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America