(USA) Staff, Data Scientist

Wal-Mart•Hoboken, NJ

54d•$132,000 - $286,000

About The Position

At Walmart, we pride ourselves for knowing our customers and connecting with them better than any other company. We interact with our customers across more categories than any company in the world. The Customer Decision Science team which is a part of the Customer Insights & Strategy team in the Marketing org at Walmart analyzes every store trip, web/ app visit, service interaction, search, click, purchase, survey responses etc. to help deliver the easiest shopping experience both digitally and physically. We are a team comprised of decision science practitioners that work together to uncover the why behind the customer behavior while measuring the outcomes from a customer and competitive lens. As a Staff Data Scientist in the team, you will have the unique opportunity to leverage the power of technology, big data and analytics to improve the lives of the 100M+ households that shop at Walmart every year. You will be responsible for identifying and quantifying accelerators and decelerators of customer engagement leveraging causal inference techniques and supporting activation and operationalization of prioritized High Value Actions (HVAs). Our ideal candidate is a sharp, thoughtful, and collaborative problem solver and people leader, who enjoys identifying key business levers and challenges, and then building data science and analytics frameworks to enable strategic decision making. You will have direct visibility with exec leadership team and will drive initiatives to support the rapid growth of our online and omni-channel customer base value. You will work closely with your peers and cross functional partners to help inform and craft exec narratives, provide business insights and analysis with a robust foundation. You also have a strong combination of business acumen and data science background, as well as an intense hunger to make a significant business impact by owning and driving business outcomes. This is a full-time position and will report to the Senior Director of Customer Decision Science.

Requirements

4+ years of experience with data/ decision science
Proven experience in leading data-driven projects from definition to execution, driving and influencing product and marketing roadmaps
Direct experience working with very large data-sets in bigquery or similar platforms including building in-database ML models
Experience with at least one scripting language (R, Python). Should be able to independently build a repository of functions to continually automate data science workflows preferably using dbplyr interface and Bigquery as the backend
Deep expertise in writing and debugging complex SQL queries
Presentation experience and a proven track record of using insights to influence executives and colleagues
Well balanced skills - People have trouble pinning you down. Both business and technical/ data teams claim you as their own. You are equal parts technical and functional. You are equally comfortable and effective in persuading both technical and business audience
Great communicator - You're capable of telling the story behind the data and resulting insights to exec audience and you are a pro at building slide decks that can simplify any complex story. You can customize your communication style based on stakeholders. You can guide and coach junior associates on story types, structures, and techniques based on context.
Business acumen - You are able to anticipate the needs of business stakeholders in the relevant business context
Data Science & Analytics expertise - You excel at designing and building new and impactful KPIs and metrics to measure customer and competitive dynamics. You are equally strong at getting into the weeds and making sure that the data needed to support these metrics is consistent and available. You are very comfortable rolling up your sleeves when needed and writing complex SQL queries for quick prototyping and helping junior associates debug their work and raise the bar. You are adept at leveraging data science frameworks and algorithms and frameworks in a practical business setting and have mastery over the fundamentals of supervised/ unsupervised learning and causal inference
Data Visualization - You are a pro at leveraging visualization to build compelling stories based on context to integrate multiple pieces of information into cohesive insights.
People leadership - You have experience in mentoring and coaching junior data science talent and can influence without direct authority.
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.

Nice To Haves

Degree in Computer Science, statistics, economics or a related quantitative field, MBA or management consulting experience
Retail/ e-commerce domain experience
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)
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.

Responsibilities

Partner with C-suite, corporate strategy, marketing, merchandising, research, product, finance and engineering organizations to drive outcomes
Have a very strong product mindset and proactively ideate and design relevant data products
Ownership of team level sql views, feature store pipelines for at least 2 business domain areas
Drive the development of quantitative analysis and predictive models to support decision making
Design and execute experiments to achieve business objectives and drive optimization
Partner with Data and tech Engineers to define data and tracking requirements
Translate data insights into actions and recommendations and self-serve products
Produce visuals (charts, infographics) and presentations to clearly and effectively communicate findings to stakeholders and leadership
Analyze and maintain customer KPIs and metrics to identify cause-effect relationships between business actions and behavioral & attitudinal customer outcomes
Work closely with the Research, Data and Business Intelligence teams

Benefits

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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.
Live Better U is a Walmart-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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