(IND) Data Scientist III

Position Summary...

What you'll do...

About Team

International 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 variety of areas in retail such as ecommerce search and personalization, fraud and loss prevention, 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 the 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.

Your Opportunity

As a Data Scientist for Walmart Global Tech, you’ll have the opportunity to

• Generate data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
• Work on gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals
• Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
• Build and train statistical models and machine learning algorithms with minimal guidance for replication for future projects
• Communicate recommendations to senior team members and business partners and share actionable insights
  
  

What You Will Do

• Play a key role to solve complex problems in the area of fraud and loss prevention, among other topics in retail, 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
• Participate in data science project teams as a valuable contributor.
• Partner with senior data science team members to assess customer needs and define business questions
• Clearly articulate and present recommendations to product and business partners, and share actionable 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 Will Bring

• Bachelor's with > 5 years of relevant experience OR Masters with > 3 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 1 year of relevant experience
• Experience in Analyzing the Complex Problems and translate it into data science algorithms
• Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms
• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
• 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.
• Lead role mentoring multiple Jr. Analysts on approach and results.
• Strong Experience in Python, PySpark
• Google Cloud platform, Vertex AI, Kubeflow, model deployment
• Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, Scala)
  
  

Preferred Qualifications:

• Domain Knowledge in Retail or FinTech, ideally in fraud and loss prevention.
• Published papers or given talks in leading academic and research journals
• Published papers or given talks in Data Science Forums
• Hold data science related patents
• Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, HQL) / Spark
• Experience in deep learning and worked in TensorFlow and Torch
• Experience with GPU/CUDA for computational efficiency
  
  

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.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities 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 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...

BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2222985