Position Summary...

What you'll do...
Model Assessment and Validation Requires knowledge of model fit testing tuning and validation techniques eg 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
Analytical Modeling Requires knowledge of feature relevance and selection Exploratory data analysis methods and techniques Advanced statistical methods and bestpractice advanced modelling techniques eg 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 RPython Basic classical optimization techniques eg NewtonRapson methods Gradient descent Numerical methods of optimization eg Linear Programming Integer Programming Quadratic Programming etc To select appropriate modeling techniques for complex problems with large scale multiple structured and unstructured data sets Select and develop variables and features iteratively based on model responses in collaboration with the business Conducts exploratory data analysis activities for example basic statistical analysis hypothesis testing statistical inferences on available data Identify dimensions and designs of experiments and create test and learn frameworks Interpret data to identify trends to go across future data sets Create continuous online model learning along with iterative model enhancements Develop newer techniques for example advanced machine learning algorithms auto ML by leveraging the latest trends in machine learning artificial intelligence to train algorithms to apply models to new data sets Guide the team on feature engineering experimentation and advanced modeling techniques to be used for complex problems with unstructured and multiple data sets for example streaming data raw text data
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 to production Continuously log and track model behavior once it is deployed against the defined metrics Identify model parameters which may need modifications depending on scale of deployment
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
Tech Problem Formulation Requires knowledge of Analyticsbig data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights To analyze the business problem within ones discipline and questions assumptions to help the business identify the root cause Identify and recommend approach to resolve the business problem to create effective technology focused solutions Set relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution Quantify business impact
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 eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers and measures of success To understand the priority order of requirements and service level agreements Define and identify the most suitable sources for required data that is fit for purpose referring to external sources as required Perform initial data quality checks on the extracted data Review the deliverables of junior associates and provides guidance on data source and quality
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 the principles of the defined strategy to unique moderately complex business problems that may span one or more functions or domains
Drives the execution of multiple business plans and projects by identifying customer and operational needs developing and communicating business plans and priorities removing barriers and obstacles that impact performance providing resources identifying performance standards measuring progress and adjusting performance accordingly developing contingency plans and demonstrating adaptability and supporting continuous learning
Provides supervision and development opportunities for associates by selecting and training mentoring assigning duties building a teambased work environment establishing performance expectations and conducting regular performance evaluations providing recognition and rewards coaching for success and improvement and promoting a belonging mindset in the workplace
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans programs and initiatives consulting with business partners managers coworkers or other key stakeholders soliciting evaluating and applying suggestions for improving efficiency and costeffectiveness and participating in and supporting community outreach events

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 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 One.Walmart.

The annual salary range for this position is $143,000.00 - $286,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include :

- Stock
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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 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.

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, 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 experience, 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.

Primary Location...

809 11th Ave, Sunnyvale, CA 94089-4731, Unite