Position Summary...
What you'll do...
What you'll do...
The Availability and Accuracy 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 predictive models.
• Engage in data analysis using advanced statistical algorithms to identify potential opportunities to improve existing algorithms.
• Respond to user-initiated, forecast-related model quality and prediction related issues as needed.
• Work closely with the engineering team on the implementation and deployment of feature engineering, forecasting, modeling, 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. predictive and ensemble methods.

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, Scala, or C++.
• Experience with the statistical programming language R Spark 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)
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
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
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...
221 RIVER ST, HOBOKEN, NJ 07030, United States of America