(USA) Staff Data Scientist
Walmart

San Bruno, California

Posted in Retail


This job has expired.

Job Info


What you'll do at

Position Summary...

What you'll do...

The Smart Forecasting team under Item & Inventory within Walmart Global Tech is hiring for a Staff Data Scientist to lead the development and design of the complex algorithms and machine learning models that power our robust tools and api's. The successful hire will balance strong research skills with solid statistical knowledge and relevant experience / expertise from industry best practices to support our pioneering work.

In this role, you will:

  • Work independently to research, design, develop, and deploy data driven algorithmic solutions, both statistical and machine learning, to execute demand forecasting for hundreds of millions of item-store combinations on a weekly basis.
  • Implement model solutions and study the results on test datasets in order to understand their shortcomings and problems.
  • Design new approaches that address any shortcomings.
  • Implement computationally scalable algorithms of statistical models that run quickly on large datasets.
  • Deploy models into production and create algorithms that are fast and robust.
  • Utilize advanced machine learning and statistics tool sets to define new problems and improve demand forecasting models.
  • Engage in data analysis using advanced statistical algorithms to identify potential opportunities to improve existing algorithms.
  • Respond to user-initiated, forecast-related issues as needed.
  • Work closely with the engineering team on the implementation and deployment of feature engineering, forecasting, and implementing and deploying algorithms in a cloud environment.
  • Keep up to date with current research and best practices on demand forecasting techniques and other advanced forecasting techniques.

We are looking for:
  • Ph.D. degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and two years of experience in an analytics related field;
  • OR Master's degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and four years of experience in an analytics related field;
  • OR Bachelor's degree or the equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and seven years of experience in an analytics related field.
  • Demonstrated knowledge of mathematics, statistics, and machine learning.
  • Experience coding in at least one of the following: Python, R, or C++.
  • Experience with the statistical programming language R is desirable.
  • Experience developing machine learning and statistical algorithms.
  • Experience scripting with SQL.
  • Experience with data modelling, time series analysis, and tree-based regression models.
  • Experience building and testing models and tuning multi-stage models and model ensembles to assess their accuracy, fit, validity, and robustness.
  • Experience with open-source data analysis and machine learning libraries, for example, Pandas, Numpy, and Scikit-learn, or the R package environment.
  • Experience compiling, analyzing, and visualizing data by applying the following mathematical models and statistical techniques: Regression Analysis, Resampling, and Decision Trees.
  • Experience with GPU-based algorithms is desirable.

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.

We're virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose.

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...
950 ELM AVE, SAN BRUNO, CA 94066-3047, 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, ideas and opinions - while being inclusive of all people.

Hello, Silicon Valley

You don't have to choose between your career and your lifestyle. In Silicon Valley, you can have both.
Discover Silicon Valley


  • Beauty
    Fioli Gardens, Woodside

    View an art exhibit, take a nature hike, explore the historic Filoli House, or take a class at this gorgeous 654-acre property.


  • Art
    SFMOMA

    Get your art fix at this internationally recognized collection of over 30,000 works of modern and contemporary art.


  • Education
    Computer History Museum

    Large-scale exhibits, an acclaimed speaker series, docent-led tours and an award-winning education program bring computer history to life.


  • Purpose
    The Dish

    Hike or jog throughout the year on terrain dedicated to academic programs, environmental restoration and habitat conservation.



  • Explore
    Golden Gate Park, SF

    Events, attractions, meadows, lakes, and a Japanese Tea Garden provide for a true escape, without leaving the city.


  • Imagine
    The Tech Museum

    This family-friendly interactive science and technology center in San Jose provides a glimpse into the most inventive place on Earth - Silicon Valley.


  • Shop
    Santana Row - San Jose

    Stylish boutiques, world-class shopping, and delectable cuisine = a San Jose shopping trifecta.


  • Disconnect
    Pacifica State Beach

    Learn to surf or visit the "World's Most Scenic Taco Bell" at this 0.75 mile long crescent shaped escape, a symbol of successful habitat restoration.


  • Reflect
    Golden Gate Cemetery

    This national cemetery comprises 161 acres dedicated to all the members of the armed forces who served our country.


All the benefits you need for you and your family
  • Multiple health plan options, including vision & dental plans for you & dependents
  • Financial benefits including 401(k), stock purchase plans, life insurance and more
  • Associate discounts in-store and online
  • Education assistance for Associate and dependents
  • Parental Leave
  • Pay during military service
  • Paid Time off - to include vacation, sick, parental
  • Short-term and long-term disability for when you can't work because of injury, illness, or childbirth

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com/Benefits.

Frequently asked questions
  • On average, how long does it take to fill out an application?

    On average, it takes 45-60 minutes to complete your application for the first time. Subsequent applications will take less time to apply as our system saves some of your application information. Please note that some positions require the completion of assessments in order to receive consideration for that role. Those would take additional time.

  • Can I change my application after submitting?

    No, you cannot change your application after submitting, so please make sure that everything is finalized before you hit the submit button.

  • How do you protect my personal information?

    Processing of information on paper is minimal, and Walmart processes application information using an applicant tracking system (ATS). Access to the data within the ATS is restricted to authorized personnel, and the system itself is held to high security standards by Walmart.

  • What are the recommended Internet Browsers for applying for open roles?

    • Internet Explorer 8.0+
    • Firefox 4.0+
    • Safari 4.0+
    • Chrome 12+


This job has expired.

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