Degree in Computer Engineering
Python Programming, Scala Programming, PyTorch, TensorFlow, Scikit-learn, R Programming, SPARK Programming
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? The mammoth scale and volume of our global data is virtually limitless. As a data scientist, 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 a wide range of advanced statistical models and machine learning 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.
The Store Associate Technology Data Science and Data Engineering Team is hiring Data Scientists to join our team of data scientists and data engineers. Our team chartered with developing statistical and machine learning systems and building a robust platform to enable the application of data science to in-store technology. We work closely with each other, software developers from other teams, and the business stakeholders. Data scientists in our team participate in the full life cycle of model development, which spans from business problem discovery to model deployment and monitoring.
You’ll make an impact by:
Participating in the full life cycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring.
Specifically, you will:
You’ll sweep us off our feet if…?
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Minimum Qualifications
Additional Preferred Qualifications
Benefits & Perks:?
Beyond competitive pay, 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.?
Who We?Are
Join Walmart and your work could help over 275?million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement.? From day one, you’ll be empowered and equipped to do the best work of your life.?careers.walmart.com
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- 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 years' 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)
Primary Location...
805 SE MOBERLY LN, BENTONVILLE, AR 72712, United States of America
Walmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores from the United States, headquartered in Bentonville, Arkansas. The company was founded by Sam Walton in 1962 and incorporated on October 31, 1969.
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