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 Data Ventures:
Data Ventures exists to unlock the full value of Walmart’s data by developing and productizing B2B data initiatives that empower merchants and suppliers to make better, faster decisions for the business. As part of this transformation, we’re seeking entrepreneurial individuals to help drive data productization from concept to deployment.

What you'll do...

Walmart Data Ventures operates with the agility of a nimble startup, dedicated to creating the best-in-class suite of Data Products. Walmart Luminate is the first product, which has been created to deliver actionable, customer-centric insights, empowering CPGs and Walmart merchants make data-driven decisions in a smarter, faster, and collaborative manner.

We are seeking an experienced Senior Data Scientist, Machine Learning Engineering with expertise in designing, developing, and deploying machine learning models to solve complex business problems.

In this role, you will work closely with cross-functional teams to understand business needs, collect and analyze data, and build scalable and efficient machine learning solutions. You will work on deploying machine learning models into production environments, managing the lifecycle from prototype to deployment and measurement. You will also closely collaborate with DevOps and Engineering teams to ensure seamless integration and monitoring of deployed models.

What you will do:

A Senior Machine Learning Engineer at Walmart is responsible for combining his engineering expertise with Data Science application knowledge to build scalable deployment pipelines and deliver for our business stakeholders and product leaders. 

• Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic Analytics and ML/AI products after successful prototyping.
• Understand business processes, identify the correct data sources and develop a high quality data ingestion pipeline in collaboration with Data Engineering team.
• Build standardised code repositories and adhere to and promote best practices of MLOps
• Handle end to end deployment of ML/AI workflows
• Participate in internal technical councils and represent the organization in forums that involve community of analytics professionals across industry and academia.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

What you will bring:

• Bachelor's Degree or Master’s Degree with 5+ years of experience in Computer Science or statistics or engineering or related field. 
• Experience as a Data Scientist/Machine Learning Engineer in e-commerce or retail  
• Experience with SQL based querying languages (MS SQL, MY SQL, HIVE) 
• Understanding of Big data and cloud Infrastructure (Hadoop, GCP & Azure) 
• Experience on data visualisation tools like Tableau, Looker etc. 
• Ability to operate in an ambiguous environment and deliver results 
• Excellent written and verbal communications skills 
• Ability to collaborate with cross-functional teams in different time zones 

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s 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.

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...

G, 1, 3, 4, 5 Floor, Building 11, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India