Group Director, Data Science

Walmart • Bentonville, AR

2d • Onsite

About The Position

We seek an extraordinarily talented individual to join our team and lead our centralized eCommerce Decision Science/AI, Data Engineering, & Business Intelligence functions. This leader will help scale our rapidly growing eCommerce business through modeling & generative AI insights and lead and grow critical Data Engineering and Business Intelligence capabilities. We seek a leader that is equal parts visionary and hands-on; you will simultaneously formulate and shape our forward-looking analytical/science roadmap but are also highly curious and willing to dig into the details of daily work to improve how we serve our customers. This role reports directly to the Vice President of Walmart eCommerce Decision Science & Analytics.

Requirements

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 8 years' experience in an analytics related field.
• Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
• 10 years' experience in an analytics or related field.
• 4 years' supervisory experience.
• Knowledge of coding languages like SQL Java C Python and others.
• Knowledge of testing methods such as static dynamic software composition analysis manual penetration testing and others.
• Knowledge of Analytics big data analytics automation techniques and methods.
• Knowledge of Analytics big data analytics automation techniques and methods.
• Knowledge of Functional business domain and scenarios categories of data and where it is held.
• Knowledge of Business data requirements.
• Knowledge of Database technologies and distributed datastores eg SQL NoSQL.
• Knowledge of Data Quality.
• Knowledge of Existing business systems and processes including the key drivers and measures of success.
• Knowledge of feature relevance and selection.
• Knowledge of Exploratory data analysis methods and techniques.
• Knowledge of Advanced statistical methods and best practice advanced modelling techniques eg graphical models Bayesian inference basic level of NLP Vision neural networks SVM Random Forest etc.
• Knowledge of Multivariate calculus.
• Knowledge of Statistical models behind standard ML models.
• Knowledge of Advanced excel techniques and Programming languages like Python.
• Knowledge of Basic classical optimization techniques eg Newton Raphson methods Gradient descent.
• Knowledge of Numerical methods of optimization eg Linear Programming Integer Programming Quadratic Programming etc.
• Knowledge of Industry and environmental factors.
• Knowledge of Common business vernacular.
• Knowledge of 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.
• Knowledge of Directly relevant business metrics and business areas.
• Knowledge of model fit testing tuning and validation techniques eg Chi square ROC curve root mean square error etc.
• Knowledge of Impact of variables and features on model performance.
• Knowledge of Impact of variables and features on model performance.
• Knowledge of understanding of servers model formats to store models.
• Knowledge of understanding of business value and relevance of data and data enabled insights decisions.
• Knowledge of Appropriate application and understanding of data ecosystem including Data Management Data Quality Standards and Data Governance Accessibility Storage and Scalability etc.
• Knowledge of Understanding of the methods and applications that unlock the monetary value of data assets.
• Knowledge of Visualization guidelines and best practices for complex data types.
• Knowledge of Multiple data visualization tools for example Python R libraries GGplot Plotly Matplotlib Ploty Tableau PowerBI etc.
• Knowledge of Advanced visualization techniques tools.
• Knowledge of Multiple story plots and structures OABCDE Communication influencing technique Emotional intelligence to define enterprise guidelines on most effective visualization tools in different contexts.

Nice To Haves

• Data science, machine learning, optimization models
• PhD 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
• Supervisory
• 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 Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

• 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 the 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 noncompliance 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.
• 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.
• 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.
• 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.
• 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 regenerative company by taking action to advance opportunity sustainability community and integrity eg creating fair opportunities for associates and suppliers driving local giving efforts.
• 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 nonretaliation 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.
• Acts as an altruistic servant leader and is consistently humble self aware.
• Delivers expected business results while putting the customer member first and consistently applying an omnimerchant mindset and acting with an everyday low cost mindset to drive value and Every Day Low Prices for customers members.
• Adopts a holistic perspective that considers data analytics customer member insights and different parts of the business when making plans and implementing strategies.
• 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.
• Drives continuous improvements supervises the adoption of new technology and supports digital disruption in line with Walmart business model.
• 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 to test the code using the appropriate testing approach.
• Deploy software to production servers.
• Contribute code documentation, maintain playbooks and provide timely progress updates.
• Collaborate with multiple business stakeholders to gain an understanding of complex organizational problems from varied perspectives to create effective technology focused solutions.
• Redefine the problem statement.
• Design multistage 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.
• Define data requirements for various model types.
• Direct usage of the appropriate internal and external data sources based on business and model requirements for example types of databases recommended data structures.
• Define data quality guidelines and align data governance.
• 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 businesses 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 machine learning models to support the businesses 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.
• Develop business strategy with executive leaders.
• Evaluate proposed business cases for projects and initiatives.
• Approve strategies initiatives and projects.
• Determine metrics and performance indicators.
• Contribute to strategic business decision making regarding key initiatives.
• Outline business cases to be developed and drives delivery of work that has meaningful return on investment to the business.
• Finalize new enterprise wide processes and ways of working.
• Model industry best practices.
• Proactively engage in the external community to build Walmart's brand and influence industry practices.
• Influence and shape business vernacular.
• 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.
• Develop automated tests for analytical models.
• Decide the models changes and deployment from a cost benefit perspective.
• Lead teams in deploying large scale or multistage models or model ensembles.
• Understand articulate interpret and apply principles of the defined strategy.
• Advise on the most complex business problems.
• Leverage experiences learnings and business context to inform influence and define data strategy that usually spans one or more functions or domains.
• Guide the generation of appropriate graphical representations of data and model outcomes.
• Understand customer requirements to design appropriate data representations for complex data sets and drive user experience designers and User Interface engineers to build front end applications.
• Define and review 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 convey 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.

Benefits

• Medical, vision and dental coverage.
• 401(k), stock purchase and company-paid life insurance.
• PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
• 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 certificates. Tuition, books, and fees are completely paid for by Walmart.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager