Data Scientist

About Team

Enterprise Business Services is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, Associate Digital Experience. Our team is responsible for design and development of solution that knows our consumer’s needs better than ever by predicting what they want based on unconstrained demand, and efficiently unlock strategic growth, economic profit, and wallet share by orchestrating intelligent, connected planning and decisioning across all functions. We interact with multiple teams across the company to provide scalable robust technical solutions.This role will play crucial role in overseeing the planning, execution and delivery of complex projects within team

We are a Data Science & ML Engineering team under the Enterprise Business Services organisation focussing on Finance domain. Our team is building products for Finance business from scratch, dealing with challenges from gathering user data, developing machine learning models to understand business processes better and making them more holistically data driven and intelligent.

Automated Forecasting, Anomaly Detection, NLP, Gen AI, Optimisation are only some of the areas we are actively working on. We leverage machine learning, natural language processing (NLP), LLMs and big data technologies to get the scale and precision required for solving these problems. We are also working on some cutting edge deep learning and Gen AI solutions to solve some of the business critical problems.

What you'll do:

As a Data Scientist for Walmart , you'll have the opportunity to

• Drive 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
• Direct the 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 for replication for future projects
• Productionize the models and make those available at scale
• Build and maintain end to end Machine Learning pipelines
• Communicate recommendations to business partners and influencing future plans based on insights

What you'll bring:

• Bachelors with > 4 years of experience / Master’s degree with > 2 years of experience. Educational qualifications should be preferably in Computer Science/Mathematics/Statistics or a related area. Experience should be relevant to the role.
• High proficiency in data mining, modeling, validation and insight generation. Excellent working knowledge of statistics, mathematics, machine learning, data mining, deep learning
• High proficiency in coding including Python with excellent knowledge of Data Structures
• Experience in Analyzing the Complex Problems and translate it into data science algorithms
• Experience in machine learning, supervised and unsupervised and deep learning. Hands on experience in NLP.
• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
• Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala, Spark)
• Hands on experience with Git
• Experience with SQL and relational databases, data warehouse
• Good to have:
• Experience in Finance domain.
• Experience in Gen AI
• Demonstrated success in data science platforms like Kaggle.

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 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.