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 Team

International Data & Analytics data science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart’s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop.

The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

What You’ll do

  • Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from petabytes of data

  • Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping

  • Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems

  • Lead small teams and participate in data science project teams by serving as the technical lead for project

  • Partner with senior team members to assess customer needs and define business questions

  • Clearly articulate and present recommendations to business partners, and influence future plans based on insights

  • Partner and engage with associates in other regions for delivering best services to the customers around the globe

  • Work with customer centric mindset to deliver high quality business driven analytic solution

  • Mentor peers and analysts across the division in analytical best practices

  • Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving

  • Promote and support company policies, procedures, mission, values, and standards of ethics and integrity

What you'll bring

  • Bachelor's with > 7 years of relevant experience OR Masters with > 5 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 3 years of relevant experience

  • Experience in Analyzing the Complex Problems and translate it into data science algorithms

  • Experience in machine learning, supervised and unsupervised:  Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms

  • Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.                                 

  • Experience in Python, Google Cloud platform, Vertex AI, model deployment

  • Experience with BigQuery, SQL and relational databases, data warehouse

  • Experience with Visualization of DS products using one or more of Tableau, PowerBI, Looker, etc.

Our Ideal Candidate

You are a technically strong and high performing individual with excellent communication skills, proven analytical skill set and strong customer focus. You stay updated with latest research and technology ideas, and have a passion to utilize innovative ways to solve problems. You are a good story-teller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders. You have industry knowledge of the retail space, with keen interest in keeping up to date on the latest happenings in this space.

About Walmart 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 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

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- 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.

Primary Location...

Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India

Location

IN KA BANGALORE Home Office PW II

Job Overview
Job Posted:
1 month ago
Job Expires:
Job Type
Full Time

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