About 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.
As a Data Scientist for Walmart, you’ll have the opportunity be a part key programs in the Data & ML engineering space. You will be responsible for building machine learning and Gen AI solutions to aid derive AI-driven insights across a wide range of divisions. You also get to work on petabyte-scale data, and utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data, and closely work with business stakeholders/product leads, and influence future plans based on insights derived.
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 initiativesDirect the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goalsUtilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insightsBuild and train statistical models and machine learning algorithms for replication for future projectsProductionize the models and make those available at scaleBuild and maintain end to end Machine Learning pipelinesCommunicate recommendations to business partners and influencing future plans based on insights
What you'll bring:
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.
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...Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India