Position Summary...

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

What you'll do...

About Global Tech.

This is the team building the data foundation infrastructure, core platform and services that drive Walmart US business. The objective of the customer analytics organization is to build the best in class engineering, analytics and data science solutions that power the best shopper experience for our customers, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. The data scientist will play a prominent  technical role in architecting data science solutions working with business stakeholders and deliver outstanding business outcomes for problems across Walmart.

What you’ll do

• You will work directly on the AI problems that have the most impact on Walmart's entire supply chain, forecasting and merchandising.

• We love open source! Many of our team members contribute to open source communities and get to do it during work time. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects!

• We value diversity. We believe that diversity and inclusion is of core importance when try to create positive in-store experiences for our guests, and we think it is also critically important when building our teams. Read more about our commitment to diversity and inclusion

• We value our team members for who they are, not just what they can get done. We treat out team members like people, not like cogs in a machine. We are parents, hobbyists, enthusiasts, family members, and community members, and can offer flexibility to our team members' schedules and work arrangements so that they can flourish both inside and outside of work.

• You have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision-making and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.
• Data Scientist is responsible for building data science and machine learning solutions for our business problems across e-commerce, finance, store operations, logistics and supply chain.
• Own a business problem and deliver end-to-end solution by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.
• Support the team in demonstrating to business skateholders the value of the solution.
• Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents.
• Participate in internal technical councils and represent the organization in forums that involve community of data scientists across industry and academia.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

What you’ll bring

• High proficiency in data mining, modeling, validation and insight generation.
• Excellent working knowledge of statistics, mathematics and machine learning algorithms.
• High proficiency in coding languages, including Python or R and SQL.
• Ability to work with large data sets. Has sound understanding of big data technology stack.
• Understanding of cloud computing platforms and large-scale databases
• Ability to setup and maintain workflows and pipelines along with modular programming
• Proven ability to collaborate and work in teams
• Excellent with communications and stakeholder engagement
• Proven ability to work in agile mode on data science sprint projects
• Educational qualifications should be preferably in Computer Science or statistics or engineering or a related area.
• Years Of Experience: 3 to 6 Years

Mandatory Skills

• Machine Learning, Big Data Skills, Python, R, ML Engineering

Additional Qualifications:

• Good to have experience in customer analytics, computer vision or financial analytics
• Data science publications in recognized platforms/journals
• Workflow infratstructure setup and maintenance experience,

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 expert's 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 with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, 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.

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.

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.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India