Senior Manager, Data Science

Walmart•San Bruno, CA

4d•Onsite

About The Position

This role focuses on leveraging data science, machine learning, and advanced analytical modeling to solve complex business problems. The Senior Manager will be responsible for developing and deploying models, communicating insights through data visualization, and guiding junior associates. The position requires a deep understanding of business context, analytical modeling techniques, model deployment, code development, and data strategy. The ideal candidate will also contribute to creating inclusive digital experiences and ensuring accessibility in products and services.

Requirements

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.
Knowledge of model fit testing tuning and validation techniques eg Chi square ROC curve root mean square error etc.
Knowledge of Visualization guidelines and best practices for complex data types.
Knowledge of feature relevance and selection.
Knowledge of Exploratory data analysis methods and techniques.
Knowledge of Advanced statistical methods and bestpractice 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 RPython.
Knowledge of Basic classical optimization techniques eg NewtonRapson methods Gradient descent.
Knowledge of Numerical methods of optimization eg Linear Programming Integer Programming Quadratic Programming etc.
Knowledge of impact of variables and features on model performance.
Knowledge of understanding of servers model formats to store models.
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 Analyticsbig data analytics automation techniques and methods.
Knowledge of Business understanding.
Knowledge of Precedence and use cases.
Knowledge of Business requirements and insights.
Knowledge of Functional business domain and scenarios.
Knowledge of 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 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.

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 experience
Using open source frameworks (for example, scikit learn, tensorflow, torch)
Knowledge of accessibility best practices

Responsibilities

Apply best practice techniques for model testing and tuning to assess accuracy fit validity and robustness for multistage models and model ensembles.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 as an altruistic servant leader and is consistently humble selfaware honest and transparent.
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.
Adopts a holistic perspective that considers data analytics customermember insights and different parts of the business when making plans and shaping the teams strategy.
Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.
Creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

Benefits

Medical, vision and dental coverage
401(k)
Stock purchase
Company-paid life insurance
PTO (including sick leave)
Parental leave
Family care leave
Bereavement
Jury duty
Voting
Short-term and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
Walmart-paid education benefit program for full-time and part-time associates (Live Better U)
Tuition, books, and fees are completely paid for by Walmart (Live Better U)