(USA) Senior, Data Scientist

Position Summary...

What youll do...

As a Senior Data Scientist at Walmart Corporate Affairs Technology you will have the exciting opportunity to design develop and deploy cutting AI and machine learning models that empower corporate affairs to operate with increased efficiency and effectiveness. Drawing on your extensive experience you will work on contemporary corporate challenges design innovative algorithms and collaborate with crossfunctional teams to drive impactful business outcomes.

About Team: EBS
The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most supporting our customers and members. People Technology is one of the major segments of Walmart Global Techs Enterprise Business Services which is invested in building a compact robust organization that includes service operations and technology solutions for Finance People and the Associate Digital Experience. The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most supporting our customers and members.

What youll do:

• Contribute to the endtoend lifecycle of AI/ML projects from ideation to deployment ensuring alignment with Walmarts strategic goals.
• Design and implement scalable cloudbased GenAI systems and leveraging GCP Azure or Walmart proprietary cloud platforms.
• Develop novel algorithms and leverage stateoftheart AI frameworks (e.g. OpenAI HuggingFace LangGraph LangChain TensorFlow PyTorch) to solve complex problems in corporate affairs.
• Build highly parallelized compute environments for processing largescale datasets optimizing performance across CPU and GPU architectures.
• Collaborate with diverse teams across engineering business and operations to understand requirements and integrate data science solutions seamlessly.
• Advocate for best practices in software development including CI/CD testing and documentation to ensure robust and reliable systems.

What youll bring:

• Masters degree (PHD preferred) in Computer Science Machine Learning Statistics or related field
• Experience with RAG Agentic frameworks Knowledge Graphs NLP classical methods and generative AI.
• 4 years of experience in software development and data science with a focus on AI/ML applications and mathematical modeling.
• Expertise in Python C CUDA and relevant libraries such as NumPy Pandas TensorFlow and PyTorch.
• Experience with serverless architecture and microservices.
• Strong experience with cloud services especially GCP.
• Knowledge of designing building and maintaining APIs for machine learning or datadriven applications.
• Handson experience with natural language processing (NLP) and recommender systems.
• Knowledge of data pipelines ETL processes and big data technologies.
• Excellent communication and problemsolving skills with the ability to manage stakeholders and deliver business value.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers data scientists cybersecurity experts and service professionals within the worlds 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 peopleled and techempowered. 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.

Walmarts culture is a competitive advantage and its fostered by being together. Working together in person allows us to collaborate align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville Arkansas with primary hubs in the San Francisco Bay area and New York/New Jersey.

Data Source Identification: Requires knowledge of Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL NoSQL); Data Quality; Existing business systems and processes including the key drivers and measures of success. To support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data.
Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management Data Quality Standards and Data Governance Accessibility Storage and Scalability etc.; Understanding of the methods and applications that unlock the monetary value of data assets. To understand articulate and apply principles of the defined strategy to routine business problems that involve a single function.
Model Deployment and Scaling: Requires knowledge of impact of variables and features on model performance; understanding of servers model formats to store models. To support efforts to ensure that analytical models and techniques used can be deployed into production. Support evaluation of the analytical model. Support the scalability and sustainability of analytical models.
Code Development and Testing: Requires knowledge of coding languages like SQL Java C Python and others; Testing methods such as static dynamic software composition analysis manual penetration testing and others; Business domain understanding. To write code to develop the required solution and application features by using the recommended programming language and leveraging business technical and data requirements. Test the code using the recommended testing approach.
Model Assessment and Validation: Requires knowledge of model fit testing tuning and validation techniques (e.g. Chi square ROC curve root mean square error etc.); Impact of variables and features on model performance To Identify the model evaluation metrics. Apply best practice techniques for model testing and tuning to assess accuracy fit validity and robustness for multistage models and model ensembles.
Data Visualization: Requires knowledge of Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and structures (OABCDE); Communication ; influencing technique; Emotional intelligence. To generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverages rational arguments. Guide and mentor junior associates on story types structures and techniques based on context.
Understanding Business Context: Requires knowledge of Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product finance marketing sales technology business systems and human resources and indepth knowledge of related practices; Directly relevant business metrics and business areas. To Provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects activities and tasks and aligns to overall business strategy and develops domain specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work.
Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To translate/ coown business problems within ones discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and gives examples to demonstrate how the method would solve the business problem.
Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and bestpractice advanced modelling techniques (e.g. graphical models Bayesian inference basic level of NLP Vision neural networks SVM Random Forest etc.); Multivariate calculus; Statistical models behind standard ML models; Advanced excel techniques and Programming languages like R/Python; Basic classical optimization techniques (e.g. NewtonRapson methods Gradient descent); Numerical methods of optimization (e.g. Linear Programming Integer Programming Quadratic Programming etc.) To select the analytical modeling technique most suitable for the structured complex data and develops custom analytical models. Conduct exploratory data analysis activities (for example basic statistical analysis hypothesis testing statistical inferences) on available data. Define and finalize features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identify the dimensions of the experiment finalize the design test hypotheses and conduct the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentor and guide junior associates on basic modeling and analytics techniques to solve complex problems.
Demonstrates uptodate 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.


Leadership Expectations

Respect for the Individual: Demonstrates and encourages respect for all; builds a highperforming diverse team; seeks and embraces differences in people cultures ideas and experiences; creates a workplace and equitable experiences where associates feel seen supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all; identifies attracts and retains the best diverse team members.

Respect for the Individual: Creates a discipline and focus around developing talent through feedback coaching mentoring and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer/member and company; and regularly recognizes others contributions and accomplishments.

Respect for the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively and crossfunctionally to achieve objectives; and communicates and listens attentively with energy and positivity to motivate influence and inspire commitment and action.

Acts with Integrity: Maintains and promotes the highest standards of integrity ethics and compliance; models the Walmart values and leads by example to foster our culture;supports Walmarts goal of becoming a regenerativecompany by making a positive impact for associates customers members and the world around us.

Acts with Integrity: Follows the law our code of conduct and company policies and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of nonretaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values.

Acts with Integrity: Acts as an altruistic servant leader and is consistently humble selfaware honest and transparent.

Service to the Customer/Member: Delivers expected business results while putting the customer/member first and consistently applying an omnimerchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers/members.

Service to the Customer/Member: Adopts a holistic perspective that considers data analytics customer/member insights and different parts of the business when making plans and shaping the teams strategy.

Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback asks thoughtful questions fosters an environment that supports learning innovation and learning from mistakes and intelligent risktaking; and exhibits resilience in the face of setbacks.

Strive for Excellence: Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

At Walmart we offer competitive pay as well as performancebased bonus awards and other great benefits for a happier mind body and wallet. Health benefits include medical vision and dental coverage. Financial benefits include 401(k) stock purchase and companypaid life insurance. Paid time off benefits include PTO (including sick leave) parental leave family care leave bereavement jury duty and voting. Other benefits include shortterm and longterm disability company discounts Military Leave Pay adoption and surrogacy expense reimbursement and more.

You will also receive PTO and/or PPTO that can be used for vacation sick leave holidays or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws where applicable.

For information about PTO see Better U is a Walmartpaid education benefit program for fulltime and parttime associates in Walmart and Sams Club facilities. Programs range from high school completion to bachelors degrees including English Language Learning and shortform certificates. Tuition books and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

For information about benefits and eligibility see .

The annual salary range for this position is $90000.00$180000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include:

Stock

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed there are no minimum qualifications.

Option 1 Bachelors degree in Statistics Economics Analytics Mathematics Computer Science Information Technology or related field and 3 years experience in an analytics related field. Option 2 Masters 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.

Data science machine learning optimization models Masters degree in Machine Learning Computer Science Information Technology Operations Research Statistics Applied Mathematics Econometrics Successful completion of one or more assessments in Python Spark Scala or R Using open source frameworks (for example scikit learn tensorflow torch) We value candidates with a background in creating inclusive digital experiences demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards assistive technologies and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmarts accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

805 Se Moberly Ln Bentonville AR 72712 United States of America