Are you ready to help transform the Retail Business? We are looking for experienced Data Scientists who have a penchant for challenging status quo, constantly innovating, breaking down complex problems and communicating technical solutions effectively with multiple business partners.
As part of the AI Enablement team in Retail Intelligence, you will consistently ideate and reframe existing processes into ML/AI problems. You will be deeply involved in data and business process discovery, collaborate with Retail Sciences team and build rapid ML prototypes.
About Team: AI Enablement, Retail Intelligence
The Retail Intelligence team is transforming the Retail business by reimagining existing business processes and incorporating ML/AI activations to achieve increased Customer and Associate engagement. The AI Enablement team, as part of the wider Retail Intelligence will be responsible for data/ business process mapping/discovery, value mapping ML/AI activations, rapid prototyping of ML/causal inference models, designing experiments and measurement of success metrics
What You'll Do:
Partner with Science Management and Strategy to conduct current state business process discovery and mapping.
Reframe into ML/AI problems, and propose algorithmic design to achieve desired associate, customer, and financial outcomes.
Collaborate with Retail Science to rapidly prototype models for reinvention of key decision engines and processes within Walmart US
Work across 4-in-the-box groups to size the associate, customer, and financial impact for ML/AI activations.
Lead on-demand efforts to optimize choices and model tradeoffs related to ML/AI algorithms.
Partner with Experimentation team on designing Experiments and measuring metrics of success.
On-demand modeling and analytical support for parameter tuning and optimal algorithmic weighting of tradeoffs
Support Development of multiple decision engines (including Customer and Associate engines) by collaborating with Retail Science teams and communicating the same to multiple business teams.
What you'll Bring...
At least 7+ years of relevant Data Science experience; Supervised and unsupervised machine learning work experience.
Curious mindset and comfortable exploring vast and complex datasets.
Experienced with operational research, modeling, statistics, optimization, statistical modeling, neural nets. Familiar with ML frameworks: Scikit learn, TensorFlow, PyTorch, etc.
Causal Inferencing Framework and Solutions experience preferred.
Strong in SQL and Python/R coding.
Experienced in basic ETL practices. Working experience in SparkSQL or PySpark is preferred.
Experience with cloud environment including Azure, Google Cloud, etc.
Model monitoring.
Mentoring/leading junior data scientists.
Ability to independently understand business problem, translate it into data science solution and generate actionable insights implementable by the business.
You're a storyteller - a master at making complex subjects easily understood through compelling stories and visuals.
You'll sweep us off our feet if...
You're an inquisitive, out-of-the box thinker who is continually on the lookout for opportunities to improve and innovate business processes using ML/AI activations.
You have experience building causal inference models.
You have independently solved complex problems: right from understanding the problem, translating it to a data science solution, exploring multiple machines learning algorithms and implementing the appropriate algorithm.
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.
About Walmart Supply Chain
At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
Future Ways of Working:
Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility in order to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success. We'll meet in person on a regular and purposeful basis.
Who we are:
Join Walmart and your work could help approximately 220 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. Our mission spreads far beyond the walls of our stores. Here at the world's leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry, and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Discover why we are a world leader in technology, diversity and inclusion, sustainability, and community involvement. careers.walmart.com.
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.
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.
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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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, Publications or active peer reviewer in related journals or conference, 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...
702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America
About Walmart
At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
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.
Hello, NW Arkansas
With over 200 miles of trails, an emerging locally-sourced food scene, the world-renowned Crystal Bridges Museum-NWA has something for everyone.
