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Walmart

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3.8

based on 2.4k Reviews

Video summary

178 Walmart Jobs

SENIOR MANAGER, DATA SCIENCE

Walmart Labs

3.8

based on 2.4k Reviews

10-19 years

Bangalore / Bengaluru

1 vacancy

SENIOR MANAGER, DATA SCIENCE

Walmart

posted 4hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Python Machine Learning Information Technology Statistics Business Operations

+ 2 more

Job Description

Position Summary...

What youll do...

About Team:

The data science team at Enterprise Business Services Pillar at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop.

The data science 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 Labs will eventually benefit our operations our associates, helping Customers Save Money to Live Better.

What youll do:

Lead a team of data scientists, machine learning engineers and software engineers to design, architect, build AI/ML models and systems, and deploy, operate and optimize the solutions
Drive Agile practice in a highly collaborative environment with a multidisciplinary team.
Design end-to-end system architecture for GenAI/AI/ML and data intensive applications
Manage and mentor team of data scientists to develop their skills and business understanding
Develop and deploy production-grade real-time/batch machine learning services
Work with product managers to design user journeys, feedback loop and analyze user telemetry
Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions
Uphold a set of robust work standards to ensure we build trustworthy AI/ML solutions
Collaborate with applied researchers and data scientists to iteratively improve our ML models and refine MLOps practice

What you ll bring:

You have 13+ years experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI /AI /ML products and applications
You have a bachelors/masters degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area
You have excellent industry experience in production-grade AI/ML system development with major technology companies or AI-native start-ups.
You can execute our trustworthy AI/ML practice with stakeholders across the enterprise.
You can effectively manage and coach junior data scientists
You can communicate internally and externally through publications, presentations, and other mediums on research progress, major breakthroughs, and product innovation.
You have extensive experience with statistical analysis and programming languages e.g. Java, Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch.
You have experience in building deep learning applications, neural network deployment optimizations and architecting ML systems
You have experience in developing chatbots/ NLP/ recommendation-engine systems
You are excited about building distributed machine learning systems at scale in production
You are familiar with version control using Git in collaboration settings
You have experience at writing high-performing production-quality code in Python
You have experience in working with end-to-end CI/CD pipelines and experience with Kubernetes
You are thorough, meticulous and detail oriented
You believe in the importance of establishing work standards and leveraging automations
You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms
You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others

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.

Flexible, hybrid work

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include many best-in-class benefits like maternity and parental leave, PTO, health benefits, and more.

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 to 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...

Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years experience in an analytics related field. Option 3: 7 years experience in an analytics or related field.