Summer 2027 Intern:: Data Science III

Walmart•Bentonville, AR

9d•$23 - $45•Onsite

About The Position

This internship focuses on Data Science, requiring knowledge in understanding business value and relevance of data, data ecosystems (management, quality, governance, storage, scalability), and unlocking monetary value from data assets. The role involves applying these principles to routine business problems, selecting and developing analytical models, conducting exploratory data analysis, defining features, designing and conducting experiments, performing trend and cluster analysis, and mentoring junior associates. Additionally, it requires supporting model deployment and scaling, developing and testing code in languages like SQL, Java, C++, and Python, formulating data-related solutions to business problems, understanding business context across various domains, identifying appropriate data sources, assessing and validating models, and generating data visualizations. The intern will also be expected to demonstrate expertise, build relationships, drive project delivery, support process updates, and uphold company policies and values. Core values emphasized include Respect the Individual (fostering belonging, developing talent, building relationships), Act with Integrity (upholding ethics, following policies, accountability), Serve our Customers and Members (prioritizing customer needs, applying an omnimerchant mindset), and Strive for Excellence (continuous improvement, embracing new tools, learning from mistakes, risk-taking, resilience).

Requirements

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.
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.
Programming languages like R/Python.
Basic classical optimization techniques eg NewtonRapson methods Gradient descent.
Numerical methods of optimization eg Linear Programming Integer Programming Quadratic Programming etc.
Knowledge of impact of variables and features on model performance.
Understanding of servers model formats to store models.
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.
Knowledge of Analytics/big data analytics automation techniques and methods.
Business understanding.
Precedence and use cases.
Business requirements and insights.
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.
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.
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.
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.
Minimum Qualifications: Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Nice To Haves

Preferred Qualifications: Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Responsibilities

Understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function.
Select the analytical modeling technique most suitable for the structured complex data and develops custom analytical models.
Conduct exploratory data analysis activities for example basic statistical analysis hypothesis testing statistical inferences on available data.
Define and finalize features based on model responses and introduces new or revised features to enhance the analysis and outcomes.
Identify the dimensions of the experiment finalize the design test hypotheses and conduct the experiment.
Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business.
Mentor and guide junior associates on basic modeling and analytics techniques to solve complex problems.
Support efforts to ensure that analytical models and techniques used can be deployed into production.
Support evaluation of the analytical model.
Support the scalability and sustainability of analytical models.
Write code to develop the required solution and application features by using the recommended programming language and leveraging business technical and data requirements.
Test the code using the recommended testing approach.
Translate co-own business problems within ones discipline to data related or mathematical solutions.
Identify appropriate methods/tools to be leveraged to provide a solution for the problem.
Share use cases and gives examples to demonstrate how the method would solve the business problem.
Support the development of business cases and recommendations.
Drive delivery of project activity and tasks assigned by others.
Support process updates and changes.
Support under guidance in solving business issues.
Understand the appropriate data set required to develop simple models by developing initial drafts.
Support the identification of the most suitable source for data.
Maintains awareness of data quality.
Support model fit testing and statistical inferences to evaluate performance.
Assess the impact of variables and features on model performance.
Generate appropriate graphical representations of data and model outcomes under guidance.
Support the understanding of customer requirements and design data representations for simple data sets.
Present to and influence the team using the appropriate data visualization frameworks and convey messages through basic business understanding.
Demonstrates uptodate expertise and applies this to the development execution and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices supporting and aligning efforts to meet customer and business needs and building commitment for perspectives and rationales.
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders identifying business needs determining and carrying out necessary processes and practices monitoring progress and results recognizing and capitalizing on improvement opportunities and adapting to competing demands organizational changes and new responsibilities.
Models compliance with company policies and procedures and supports company mission values and standards of ethics and integrity by incorporating these into the development and implementation of business plans using the Open Door Policy and demonstrating and assisting others with how to apply these in executing business processes and practices.
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 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 making a positive impact for associates customers and the world around us eg creating a sense of belonging eliminating waste participating in local giving.
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.
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.
Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

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, and 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.
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.