at Walmart
Full TimeAbout Team:
Ever wondered how Walmart is achieving everyday low price and being competitive in retail space. Our Market Intelligence team (MINT) is building best in class cutting edge solution powered by innovation in LLMs and computer vision models leveraging state of the art architectures and methodologies with ample opportunity for innovation and experiments.
We in MINT are building a state-of-the-art SaaS platform encompassing the best of engineering and data science practices
MINT team in Walmart seeks to empower functional leaders in merchandising/marketplace, and product managers, developers, data scientists and data analysts through data-led services that they can leverage for customers and sellers.
Our strategy is to win by enhancing business outcomes in two ways:
1) Distribution of high-quality knowledge and
2) Automated decision-making.
We seek to derive useful retail insights by: Building predictive modelling triggers, which optimize relevant utility or risk functions. Establishing an ecosystem which supports rapid iterative experiments enabling us to validate and productise hypothesis quickly.
These capabilities will help drive customer satisfaction through catalogue growth, easy discoverability of items at low cost, and through pricing automation to make Walmart the retailer of choice.
What you will do:
As a Senior Data Scientists for Walmart Global Tech, you’ll have the opportunity to
Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.
Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from terabytes of data.
Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart.
Collaborate with counterparts in engineering and science to find impactful solutions to business problems.
Define and/or own the model goodness metrics and track the business impact over time.
Develop PoC, present lucidly to the business and evolve the solutions.
Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.
Manage the continuous improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Deep Learning research.
Integrate data science solutions into current business processes.
Contribute in terms of white papers and approach papers 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 will bring:
Master’s degree with > 3 years of experience / bachelor's degree with > 4 years of experience. Educational qualifications should be from STEM. Experience should be relevant to the role.
Experience in analysing complex problems and translating them to data science solutions with due attention to computational efficiency and scale.
Sound knowledge of ML concepts and its application and ability to formulate solutions, baseline it and improve upon them with ML algorithms. Expertise in NLP and Computer Vision models. Worked with models like BERT, ViT and LLMs. Worked on fine-tuning LLMs and Transformer based models for business solutions. Knowledge in statistical methodologies to be able to measure metrics of large dataset and leveraging statistical based sample methods.
Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
Worked with at least one mainstream machine learning framework such as Tensor Flow and PyTorch
Working Experience with SQL and relational databases
Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL) / Spark / H20 is good to have
Domain Knowledge: Retail eCommerce is good to have
Experience with debugging skills, RCA and stakeholder management.
Software Engineering / Data Engineering Fundamentals
Basic software design principals
Unit testing
Version control
High performance code to work at scale
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.
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.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
