Position Summary...

What you'll do...
Essential Functions

An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation.
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 collaborate with multiple business stakeholders to gain an understanding of
complex organizational problems from varied perspectives to create effective technology focused solutions. Influence the business to redefine the
problem statement. Design multi-stage, data-driven solutions to real-world problems for issues that are amenable to a data-driven solution. Redefine
data analytics, big data analytics, automation goals, and deliverables by leveraging experience with the business problem. Identify return on
investment.

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 in-depth
knowledge of related practices; Directly relevant business metrics and business areas. To evaluate proposed business cases for projects and
initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives
the execution of deliverables. Build and articulate the business case and return on investment and delivers work that has demonstrable value.
Challenge business assumptions on topics related to one's domain expertise. Mentor the team members on new business insights and allied
developments. Proactively engage in the external community to build Walmart's brand and learn more about industry practices.

Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical
methods and best-practice 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., Newton-Rapson methods, Gradient descent); Numerical methods of
optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) To explore and create automated feature generation
framework. Develop standard EDA process. Develop best practices on experimentation. Drive exploratory work in newer areas of Math, Statistics,
Machine Learning, and Optimization Techniques. Continuously improve the business's data analysis models. Create industry-leading performance by
leveraging new and creative data-sources. Employ the latest in machine learning in the department, Scope, design, and implement new machinelearning models to support the business's initiatives and programs with a view of achieving overall objectives and targets. Guide teams in the
development and delivery of big data predictive technologies models, and fully working prototypes of complex algorithms using readily available
libraries.

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 and review model evaluation metrics based on analytical
requirements. Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness. Ensure testing information is
documented and maintained by the team.
Model Deployment and Scaling: Requires knowledge of impact of variables and features on model performance; understanding of servers, model
formats to store models. To deploy models or model ensemble and ensure sustainability and maintenance overtime. Implement model monitoring and
model life-cycle management practices. Assist in creation of innovative user interfaces and support the use of models through collaboration with key
stakeholders.

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 determining the appropriate programming language and leveraging business, technical, and data
requirements. Create test cases to review and validate the proposed solution design. Create proofs of concept. Test the code using the appropriate
testing approach. Deploy software to production servers. Contribute code documentation, maintain playbooks, and provide timely progress updates.
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 identify and recommend the most suitable visualization
tools based on context. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design
appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end
applications. Define application design based on customer requirements. Build compelling stories based on context to integrate multiple pieces of
information into cohesive insights. Present to and influence audiences using the appropriate data visualization frameworks and conveys clear
messages through deep business and stakeholder understanding. Customize communication style based on stakeholders and leverages relationships to drive behavioral change. Guide and mentor junior associates on story types, structures, and techniques based on context.

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,
interpret, and apply principles of the defined strategy to complex business problems. Leverage experiences and learnings to inform and influence
data strategy that typically spans one or more functions or domains.

Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing
business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting
resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement
opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning.
Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting,
selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and
existing talent.

Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all
programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy.
Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading
key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate
business plans and initiatives; and supporting associate efforts in these areas.
Leadership Expectations

Respect the Individual:Builds high-performing teams; seeks, and embraces differences in people, cultures, ideas and experiences; creates a
workplace where all 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.

Respect the Individual:Creates a discipline and focus around developing talent through feedback, coaching, mentoring, and developmental
opportunities; builds the talent pipeline, fosters an environment allowing everyone to bring their best selves to work, empowers associates and
partners to act in the best interest of the customer and company, and regularly recognizes others' contributions and accomplishments; supports
strategies and drives initiatives that attract and retain the best talent.

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

Act 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 Walmart's goal of becoming a regenerative company by taking action to advance opportunity, sustainability, community,
and integrity (e.g., creating fair opportunities for associates and suppliers, driving local giving efforts).

Act with Integrity:Ensures that teams follow the law, our code of conduct and company policies; promotes an environment where associates feel
comfortable sharing concerns and models our culture of non-retaliation; listens to concerns raised by associates and takes action and enables others
to do the same; holds self and teams accountable for achieving results in a way that is consistent with our values.

Act with Integrity:Acts as an altruistic servant leader and is consistently humble, self-aware.

Serve our Customers and Members:Delivers expected business results while putting the customer/member first and consistently applying an omnimerchant mindset and acting with an Every Day Low-Cost mindset to drive value and Every Day Low Prices for customers/members.

Serve our Customers and Members:Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the
business when making plans and implementing strategies.

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

Strive for Excellence:Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with
Walmart's business model.
Physical Activities

The following physical activities are necessary to perform one or more essential functions of this position.

• Reads information, often in small print.
• Visually verifies information, often in small print.
• Communicates effectively in person or by using telecommunications equipment.
• Creates documents, reports, etc., using a writing instrument (such as a pencil or pen) or electronic device.
• Enters and locates information on electronic device.
• Presents information to small or large groups and individuals.
• Observes associate, customer, or supplier behavior.

Travel

Traveling is necessary to perform one or more essential functions of this position.

• Travels internationally to and from multiple facilities or work-sites requiring extended overnight stay

Preferred Qualifications

• PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or
• related field.
• 10 years' experience in data science, machine learning, optimization models, or related field.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• 8 years' experience using open source frameworks (for example, scikit learn, tensorflow, torch).
• 5 years' supervisory experience.
• 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 Walmart's
• accessibility standards and guidelines for supporting an inclusive culture.

At Walmart, we offer competitive pay as well as performance-based 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 company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term 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 https://one.walmart.com/notices.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form c