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
Promotes and supports company policies procedures mission values and standards of ethics and integrity by training and providing direction to others in their use and application ensuring compliance with them and utilizing and supporting the Open Door Policy
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
Respect the Individual Demonstrates and encourages respect for all builds a highperforming team 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 customermember experience for all identifies attracts and retains the best team members
Respect 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 customermember and company and regularly recognizes others contributions and accomplishments
Respect 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
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 Walmarts goal of becoming a regenerative company by making a positive impact for associates customers and the world around us eg creating a sense of belonging eliminating waste participating in local giving
Act 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
Act with Integrity Acts as an altruistic servant leader and is consistently humble selfaware honest and transparent
Serve our Customers and Members Delivers expected business results while putting the customermember first and consistently applying an omnimerchant mindset and acts with an Every Day LowCost mindset to drive value and Every Day Low Prices for customersmembers
Serve our Customers and Members Adopts a holistic perspective that considers data analytics customermember 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

Minimum Qualifications...

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

Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's 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, 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 accessibil