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Walmart

Compare

3.8

based on 2.3k Reviews

265 Walmart Jobs

Staff, Data Scientist (MLE)

Walmart Labs

3.8

based on 2.3k Reviews

2-9 years

Bangalore / Bengaluru

1 vacancy

Staff, Data Scientist (MLE)

Walmart

posted 16d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python Consulting SQL Machine Learning Information Technology

+ 3 more

Job Description

Position Summary... Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.

What youll do...

About Team:

Supply Chain Technology(SCT) Data Science team at Walmart is focused on using the latest research in Operations Research, 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.

We are seeking a highly motivated and experienced Machine Learning 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 Will Do:

Build Walmart-scale optimization and ML models to improve store operations efficiency, boost GMV, using cutting-edge techniques in the industry..

Design, develop, and maintain high-performance data pipelines and ETL processes for large-scale store operations, sales, and inventory data.

Integrate data from a variety of sources, including APIs, databases, and 3rd party tools. Collaborate with other data scientists to build and deploy efficient, scalable data models to support analytics and machine learning workflows.

Develop tests and monitoring systems to ensure data accuracy, consistency and reliability.

Optimize data pipelines and storage solutions for performance and cost-efficiency.

Work closely with stakeholders to understand business requirements and translate them into technical solutions.

What You Will Bring:

Masters in Technology/Engineering with 6-9 years of experience designing and architecting Machine learning solutions end to end.

Deep understanding of data warehousing and data lake concepts, dimensional modeling, and ETL best practices.

Extensive experience with SQL, JAVA, Python, Scala

Deep expertise in big data frameworks, such as Apache Spark.

Strong knowledge of streaming data platforms, such as Kafka, Flink, or Kinesis.

Hands-on experience with GraphQL API development, including schema federation and query optimization

Proven experience with cloud platforms, such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Blob Storage)

Mastery of orchestration tools such as Apache Airflow and CI/CD pipelines for data workflows

Strong understanding of feature transformation techniques and experience working with feature stores.

Strong understanding of a suite of machine learning algorithms (statistical to cutting edge) and experience in taking them to PROD in a scalable manner.

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...

Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field.

Preferred Qualifications...

Master s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years experience in software engineering or related area

Primary Location...

Employment Type: Full Time, Permanent

Read full job description

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What people at Walmart are saying

3.0

Rating based on 10 Data Scientist reviews

Anonymous · Data Science & Analytics in Bangalore / Bengaluru

Likes

Although it varies from team to team, in general there is work life balance, and the work culture is good. The usual standard facilities like food at the office, and cab services are available. The additional benefits like mobile phone reimbursement, fitness reimbursement are okay as well. There is a general sense of belonging to the company due to the satisfactory culture.

Salary - Good

+2 more

Dislikes

Promotions after IN3/4 are usually slow. Compared to other Tier 1 tech companies, the compensation is generally a bit lesser. The primary goal isn't Engineering Excellence but tech is more of a retail-enabler.

Read 10 Data Scientist reviews