Senior, Data Scientist – ML Engineer

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

 The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases.

The Data Science and ML Engineering 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 Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

What you’ll do:

As a Senior Data Scientist – ML Engineer, you’ll have the opportunity to:

 Design large scale AI/ML products/systems impacting millions of customers

Develop highly scalable, timely, highly-performant, instrumented and accurate data pipelines

Identify, develop, and deliver improvements on data performance, data quality, and cost, which needs to be monitored and analyzed

Enable data governance practices and process by being a passionate adopter and ambassador

Run fine-tuning and optimization experiments on large language models and advanced machine learning algorithms

Build production quality AI/ML solutions for large scale data with low latency requirements

Collaborate with multiple stakeholders to drive innovation at scale

Leverage and contribute to generative AI advancements within the organization, fostering an environment of innovation and progress

Build a strong external presence through publishing your team’s work in top-tier AI/ML conferences and developing partnerships with academic institutions

Adhere to Walmart’s policies, procedures, mission, values, standards of ethics and integrity

Adopt to Walmart’s quality standards, develop/recommend process standards and best practices across the retail industry

What you’ll bring

PhD with >3 years of relevant experience / 4-year bachelor’s degree with > 8 years of experience / Master’s degree with > 6 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.

Leading the development and deployment of AI/ML models

Proven track record of delivering high-impact AI/ML solutions

Past experience in programming skills across big data and ML engineering stack

Strong communication skills with inclination to high ownership and commitment

Able to refactor data science code and has collaborated with data scientists in developing ML solutions. 

Mandatory Skills: Machine Learning, Big Data Skills, Python, R 

 Additional Qualifications:  Good to have experience in areas such as computer vision, forecasting, real-time analytics, conversational AI assistants

About Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.

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…

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