Are you a hardcore numbers person who would enjoy solving some of business’ toughest challenges by illuminating phenomena and opportunity held within one of the world’s largest data sets? As a Data Scientist at Walmart Global Tech, the mammoth scale and volume of our global data is virtually limitless. You will create insights that influence how we make decisions that have impact at an unprecedented scale.
You will have the opportunity to do your best work while unlocking vast business opportunity by extracting key insights, using pattern recognition to develop predictive analytics, and translating results into goal-oriented business actions.
Each day, you will be presented with a variety of new challenges and interesting projects that tap your interests and strengths. This isn’t analyst work; you’ll be leveraging data science methods, including AI and machine learning in an incredibly dynamic and engaging environment.
How you'll make an impact:
What you'll bring:
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.
Hiring across: Emerging Tech; Marketing & Advertising; Technical Product Management; Health and Wellness Technology; New Ventures; Data Ventures / Luminate.
About Global Tech
From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development.
Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard.
Walmart's scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers.
Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow.
Flexible, hybrid work
We use a hybrid way of working that is primarily virtual, while remaining near the locations Global Tech calls home. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Of course, being together in person is an important part of our culture and shared success. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities.
Our U.S. hubs are: Atlanta, GA; Bentonville AR; Charlotte, NC; Dallas, TX, Hoboken, NJ; Reston, VA; Seattle, WA and Sunnyvale, CA.
Beyond our great compensation package, we offer performance incentives. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
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.
#EpicHumanImpact
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 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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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