About Team:
E2E Data & Analytics Center of Excellence team at Walmart is focused on using the latest and greatest in time series forecasting, machine learning and statistics to solve business forecasting problems within supply chain process flow. We build time series forecasting models and machine learning pipelines in a big data ecosystem to empower decision-making. Advanced analytical and forecasting algorithms driven by our team help Walmart to optimize supply chain at operational, tactical and strategic levels, business practices, reduce cost and pass those benefits to our customers.
You will be contributing towards building forecasting/prediction/root-cause algorithms by closely collaborating with our stakeholders at Bentonville and provide solution to business challenges. In most cases the prioritization of business challenges is based on impact and hence your contributions can have direct impact to our businesses.
What you'll do:
As a Staff Data Scientists for Walmart, you’ll have the opportunity to
Play a key role to solve complex time series forecasting problems, pivotal to Walmart’s business and drive actionable insights from terabytes of data Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart. Develop PoC, present lucidly to the business and evolve the solutions Take forward the solutions into Pipelines/APIs as needed by the business Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions Brainstorm, review and mentor junior associates in providing robust data science solutions
What you'll bring:
M.Tech with 9+ years of relevant experience in AI time series forecasting and machine learning / artificial intelligence
Problem solver at heart with experience in Time Series Forecasting, Machine learning and Data Science
Proficiency with Python/PySpark/BiqQuery etc
Proficiency with ML libraries sklearn/pytorch/tensorflow etc
Good knowledge of commonly used design patterns in data science
Cloud friendliness (GCP/Azure etc) to leverage distributed computing/scalability
Good communication/influencing/mentoring skills with inclination to high ownership and commitment
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 2.3 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 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 a host of best-in-class benefits maternity and parental leave, PTO, health benefits, 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.
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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
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.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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