Staff Data Scientist 1274614BR

Staff Data Scientist 1274614BR

  • Location SAN BRUNO, CA
  • Career Area Information Technology
  • Job Function Information Technology
  • Employment Type -
  • Position Type -
  • Requisition 1274614BR

What you'll do at

We are looking for passionate data scientists and researchers to building next generation forecasting models and algorithms for Walmart. Forecasts drive $200 B + inventory replenishment's annually. Improved forecasts will help drive down the inventory days of supply and reduce waste – savings measured in billions of dollars – while improving our in-stock rates and customer satisfaction. Supply chain efficiency is key in today’s competitive markets, and it all starts with forecasting.

Effectively predicting demand involves learning both from past sales and a host of other factors, e.g., weather, demographics, event calendars, SNAP calendars, etc.. Doing this at Walmart scale – over 500 million store-item combinations - makes it one of the largest and most challenging problems of its kind in the world while also being one of the most impact. Talk to us to if you are interested in taking up the challenge.

As a Staff Data Scientist you will play a unique role in driving the future of the next generation forecasting models researching, designing and implementing cutting edge algorithms. Responsibilities include:
• Working independently to conduct advanced statistical analysis providing actionable insights, identify trends, and measure performance
• Design and build learning systems that react to changes in customer preferences using advanced machine learning and statistical techniques
• Identify opportunities for improving algorithms and processes from the perspectives of accuracy, stability, and scalability and develop associated solutions
• Collaborate with engineers to implement and deploy scalable solutions
• Provide thought leadership by researching best practices, extending and creating new machine learning and statistical methodologies, conducting experiments, and collaborating with leaders from industry and academia to address various forecast-related issues, e.g., item / store clustering

Minimum Qualifications

• PhD in statistics, machine learning, or related technical discipline with 3+ years of experience
• Experience in areas such as data-driven statistical modeling, robust statistics, feature extraction and analysis, supervised learning.
• Proficient in R or Python, SQL. C/C++ preferred.

• Experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark)

Preferred Qualifications

• Inquisitiveness and desire to learn.
• Strong analytical skills including the ability to structure problems for analysis, analyze the data and understand root cause.
• Forecasting experience in an online and/or retail environment is preferred
• Good written and verbal communication skills



About Walmart Labs

Imagine working in an environment where one experiment can catapult an entire industry toward a smarter future. That’s what we do at Walmart Labs. We’re a team of 5,000+ software engineers, data scientists, designers and product managers within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and our enterprise operates.

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All the benefits you need for you and your family

  • 100% coverage for in network preventative care
  • Retirement Plan
  • Vision Plans
  • Dental Plans
  • Exclusive Discounts

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