Position Summary: We are looking for a Senior Data Scientist to lead the development and improvement of cutting-edge machine learning and deep learning models powering the Data Ventures team. Data Ventures, akin to a nimble startup incubated within Walmart, is building the best-in-class suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni-channel 360 performance. As a Senior Data Scientist, you will design and implement scalable data science solutions working with business, product, and engineering partners and deliver outstanding business outcomes.
Position Responsibilities: The Senior Data Scientist is responsible for end-to-end data science solutions for our data products.Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning.Works closely with data engineers, analysts, ML Engineers, and application developers to help build ML and statistics-driven models.Have a deep interest and passion for technology. You love writing and owning code and enjoy working with people.Good at analyzing existing code, finding bugs in the existing solutions, and recommending how to improve or enhance the baseline.Communicate complex models and analysis in a clear and precise manner coupled with actionable conclusions and recommendations.You have strong problem-solving, analytic, decision-making capabilities, and excellent communication with interpersonal skills.You level up when you have the opportunity to teach others and empower those around you to excel.You'll sweep us off our feet if: You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.You have experience with deep learning libraries like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop.Have strong knowledge of Statistics, Machine Learning, Deep Learning, and NLP/NLU.Have applied industry experience in NLP/NLU, Forecasting, and Anomaly detection solution development.Built solutions that are easy to integrate into external framework or existing platforms.You bring a strong engineering mindset and exposure to software engineering principles, Agile methodologies.Functional knowledge of Google Cloud Platform or Azure Machine Learning Platform and their ML and compute components.Experience in Retail customer behavior analysis and designing algorithms at scale.About Walmart Global Tech:
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in-office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose, and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team, and be more flexible in our personal lives.
Benefits:
Beyond our great compensation package, 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.
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.
Minimum Qualifications:
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
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 year of experience in an analytics-related field.Option 3: 5 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, Master's degree 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.Primary Location:
680 West California Avenue, Sunnyvale, CA ******** , United States of America
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