at Walmart
Full TimeOur Team
The data science team 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.
Your Opportunity
As a Senior Manager of Data Science for Walmart Global Tech, you'll have the opportunity to
Lead a team of talented data scientists in a variety of engagements
Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
Build and train AI/ML models for replication for future projects
Deploy and maintain the data science solutions
Communicate recommendations to business partners and influence future plans based on insights
Your Responsibility
Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
Closely partners with the Senior Manager & Director of Data Science to drive data science adoption in the domain
Guides. data scientists, senior data scientists & staff data scientists across multiple sub-domains to ensure on-time delivery of ML products
Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy.
Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.
Drive synergies across different products in terms of algorithmic innovation and sharing of best practices.
Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain
Evaluates proposed business cases for projects and initiatives
Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables
Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution
Quantifies business impact and ensures regular impact measurement of all ML products in the domain.
Identifies and reviews model evaluation metrics based on analytical requirements
Ensures testing information is documented and maintained by the team
Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights
Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping
Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems
Articulate and present recommendations to business partners and influence plans based on insights
Partner and engage with associates in other regions for delivering the best services to customers around the globe
Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions.
Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
Proactively engages in the external community to build Walmart's brand and learn more about industry practices
Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
Our Ideal Candidate
You are a technically strong and high-performing individual with excellent communication skills, a proven analytical skillset, and customer focus. Have proven experience in leading data science initiatives in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization. You stay updated with the latest research and technology ideas and have a passion for utilizing innovative ways to solve problems. You are a good storyteller and able to articulate the intricacies of your models and explain your results clearly to stakeholders. In addition, you have industry knowledge of the retail space, with a keen interest in keeping up to date on the latest happenings in this space.
Your Qualifications
Master's with > 12 years OR Ph.D. with > 10 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
Minimum 5 years of experience as a data science technical lead
Ability to lead multiple data science projects end to end.
Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization
Deep experience in simultaneously leading multiple data science initiatives end to end – from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation & Gen-AI
In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
Ability to scale and deploy data science solutions.
Strong Experience with one or more of Python and R.
Experience in GCP/Azure
Strong Experience in Python, PySpark
Google Cloud platform, Vertex AI, Kubeflow, model deployment
Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala)
Experience with GPU/CUDA for computational efficiency
Additional Preferred Qualifications:
Domain Knowledge of one or more divisions in Retail
Published papers or given talks in leading academic and research journals
Published papers or given talks in Data Science Forums
Hold data science related patents
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
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 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.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
