STAFF, DATA SCIENTIST

• 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  

What You Will Do 

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

• Guides data scientists and senior data scientists across the domain DS team to ensure on-time delivery of ML products 

• Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. 

• 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 

 What You Will Bring

• Bachelor's/Masters > 9 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 5 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. 

• Ability to lead data science projects end to end. 

• Experience in analyzing complex problems and translating them into analytical solutions. 

• Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Recommendation models, deep-learning, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation 

• Ability to utilize data science solutions outcomes to drive predictive and prescriptive analytics. 

• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data 

• 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) 

About Walmart Global Tech

From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmart's scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow.

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.