Senior, Data Scientist (Mle)

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:

Supply Chain Technology(SCT) Data Science team at Walmart is focused on using the latest research in Machine learning and Computer Vision to solve business problems in supply chain process flow. We build Computer vision models to enable QC, ranking and classification algorithms for next gen use cases to empower decision-making, solve optimization problems and work with engineering team to build reference architectures and pipelines in a big data ecosystem. Advanced analytical algorithms driven by our team help Walmart to optimize supply chain operations, business practices, reduce cost and pass those benefits to our customers.

About the Role:

We are seeking a highly motivated and experienced Software Engineer to join our growing store operations team. In this role, you will play a critical part in designing, building, and scaling our intelligence system for store operations and ensuring a robust and scalable data-driven decision-making system.

What you'll do:

• Build Walmart-scale optimizations to improve store operations efficiency, boost GMV, using cutting-edge techniques in the industry.
• Support the model development lifecycle from ideation to deployment, ensuring high standards of model performance and robustness.
• Design and deploy production-grade machine learning models and optimization algorithms using robust software engineering principles.
• Write clean, maintainable, and efficient code with a focus on testability, modularity, and reusability.
• Design scalable inference systems for real-time and batch predictions.
• Optimize model performance for latency, throughput, and resource efficiency.
• Build monitoring tools and processes to ensure system reliability and performance.
• Debug and resolve issues in a live production environment, ensuring minimal downtime.  

What you'll bring:

• Masters in Engineering / Technology or MSc with 4 years of industry relevant experiences
• Ability to develop scalable and high-performance systems for optimization and machine learning problems, leveraging languages like Java, C++, and Python. 
• Strong understanding of software design patterns.
• Experience in developing scalable, distributed systems and working with microservices architectures.
• Familiarity with data processing tools and frameworks such as Apache Kafka or Spark.
• Hands-on experience with a cloud environment like GCP or Azure, including managed services for ML and optimization workflows.
• Experience in low-latency systems, with a proven ability to optimize computationally intensive algorithms for performance and scalability.
• Knowledge of basic ML algo and it's scalable implementation

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 2.3 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. 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 that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and 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