Staff, Data Scientist

Posted 16 Days Ago
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Bangalore, Bengaluru Urban, Karnataka
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
As a Staff Data Scientist, responsibilities include mentoring peers, consulting on algorithm-based recommendations, designing AI/ML models, developing scalable solutions, integrating data science into business processes, and engaging with external partners and academic institutions. The role also involves publishing research and speaking at conferences.
Summary Generated by Built In

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 you'll do...

About Team

The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases.

The Data Science and ML Engineering 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 Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

What you'll do:

As a Staff Data Scientist for Walmart Global Tech, you’ll have the opportunity to

  • Mentor peers and junior members and handle multiple projects at the same time.

  • Consult with business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.

  • Design, develop, and deploy AI/ML, NLP and LLM models into production environments with a focus on reliability and scalability

  • Develop efficient and scalable models at Walmart scale.

  • Integrate data science solutions into current business processes.

  • Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.

  • Engage and partner with universities, institutes, and vendor partners to bring in ideas and innovation into the lab’s environment.

  • Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT

  • Participate and speak at various external forums such as research conferences and technical summits.

  • Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

What you'll bring:

  • Qualifications

    • PhD with >5 years of relevant experience / 4-year bachelor’s degree with > 10 years of experience / Master’s degree with > 8 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.

  • Demonstrated history of strong hands-on experience in AI/ML modeling

  • Proven records of scientific publications or intellectual property generation

  • Past experience in solving complex business problems using Vision Models

  • Past experience in strong programming skills across data science, big data and ML engineering stack

  • Strong communication skills with inclination to high ownership and commitment

Good to have:

  •  Experience with Ecommerce domain.

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.

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: 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...

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

Top Skills

Python
The Company
HQ: Bentonville, AR
578,950 Employees
Hybrid Workplace

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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