SENIOR, DATA SCIENTIST (MLE)

Position Summary...

What you'll do...

About Team:

Spark Driver Platform operates across all 50 U.S. states, empowering millions of drivers to provide local delivery and making it Walmarts largest local delivery service provider. The Spark Driver Applied AI team is dedicated to enhancing efficiency and profitability by pushing the boundaries of machine learning, data science, and economics. We build highly reliable and scalable production systems that drive the growth of the Spark Driver Platform. Our key focus areas include Capacity Planning, Driver Search, Driver Matching, Driver Offer Pricing, Driver Surge Pricing, Incentive Strategy, ETA Prediction, and GenAI Automation for Driver Support.

What you'll Do:

Walmarts Spark Platform is revolutionizing last-mile delivery by leveraging advanced AI and ML technologies. We are looking for a Senior Machine Learning Engineer to develop and optimize predictive systems that estimate delivery times with high accuracy. This role offers an opportunity to work on large-scale, real-time data pipelines and deploy ML solutions that directly impact millions of customers and drivers.

• Collaborate with data scientists, software engineers, and product teams to scale models into production systems.
• Design, deploy, and scale machine learning systems to predict estimated delivery times (ETAs) based on dynamic real-world conditions.
• Work with large-scale datasets, including GPS tracking, order details, and traffic patterns.
• Design and optimize ML pipelines, ensuring scalability, efficiency, and real-time processing capabilities.
• Deploy and Scale end-to-end models, balancing accuracy and computational efficiency.
• Ensure models meet business and operational requirements, optimizing for accuracy, latency, and reliability.
• Explore and integrate the latest AI advancements, ensuring Walmart remains a leader in AI-driven delivery solutions.
• Additional Job Description
  
  

What you'll bring:

• Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operations Research, Economics, or a related field.
• Proven track record of deploying ML models in production, preferably in high-scale environments.
• Strong proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Experience with time-series forecasting, real-time data processing, or predictive modeling.
• Hands-on experience with cloud platforms such as GCP, or Azure.
• Knowledge of big data technologies like Spark, Kafka, and SQL.
• Proficiency in MLOps practices, including CI/CD for ML pipelines and model monitoring.
• Knowledge of reinforcement learning or deep learning techniques for sequential decision-making.
• Strong understanding of DevOps tools and infrastructure automation.
• Ability to drive projects from conception to production in a fast-paced, dynamic environment.
• Excellent communication and leadership skills, with the ability to influence and inspire cross-functional teams.
  
  

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds 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 isand feelsincluded, 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, were 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 welcoming 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 R-2127433