(USA) Senior Director I, Data Science
What you'll do at Position SummaryWhat you'll doWhat you'll do 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 in-depth knowledge of related practices; Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives and drives the execution of deliverables.
Challenge business assumptions on topics related to one's domain expertise.
Mentor the team members on new business insights and allied developments.
Proactively engage in the external community to build Sam's / Walmart's brand and learn more about industry practices.
Problem Formulation:
Requires knowledge of Analytics/big data analytics / automation techniques and methods; 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 business impact of the solution.
Data Source Identification:
Requires knowledge of Functional business domain and scenarios; Database technologies and distributed datastores (e.
g.
SQL, NoSQL); Data Quality; Define and identify the most suitable sources for required data that is fit for purpose, referring to external sources as required.
Review the deliverables of junior associates and provide guidance on data source and quality.
Data Visualization:
Requires knowledge of Visualization guidelines and best practices for complex data types; Advanced visualization techniques/ tools; Communication & influencing techniques from Tufte to Knaflic; Build compelling stories based on context to integrate multiple pieces of information into cohesive insights.
Customize communication style based on stakeholders and leverages relationships to drive behavioral change.
Guide and mentor junior associates on same.
Analytical Modeling:
Requires knowledge of data analysis methods and techniques to include statistical methods, advanced modelling techniques, and optimization.
Ability to select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.
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.
Create continuous, online model learning along with iterative model enhancements.
Guide the team on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with structured, unstructured, and multiple data sets.
Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness.
Implement model monitoring and model life-cycle management practices.
Ensure model information is documented and maintained by the team.
Code Development and Testing:
Requires knowledge of coding languages like SQL, Java, C++, Python and others; Lead team across software development lifecycle to include design, development, testing, deploying, and monitoring.
Analytical Modeling:
Requires knowledge of data analysis methods and techniques to include statistical methods, advanced modelling techniques, and optimization.
Ability to select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.
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.
Create continuous, online model learning along with iterative model enhancements.
Guide the team on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with structured, unstructured, and multiple data sets.
Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness.
Implement model monitoring and model life-cycle management practices.
Ensure model information is documented and maintained by the team.
Data Strategy:
Requires knowledge & understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystems.
Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains.
Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning.
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 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 non-compliance; 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.
Live our ValuesCulture Championo Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.
Servant Leadershipo Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparentEmbrace ChangeCuriosity & Courageo Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Changeo Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with Walmart's business model.
Deliver for the CustomerCustomer Focuso Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans and initiatives.
Strategic Thinkingo Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and implementing strategies.
Focus on our AssociatesDiversity, Equity & Inclusiono Supports strategies and drives initiatives that attract and retain diverse and inclusive talent; builds high-performing teams; embraces diversity in all its forms; and actively supports diversity goal programs.
Collaboration & Influenceo Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.
Talent Managemento Creates a discipline and focus around developing talent, 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.
About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people.
That's what we do at Walmart Global Tech.
We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
People are why we innovate, and people power our innovations.
We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow.
We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career.
Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.
Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.
This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them.
That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role.
It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job.
The full Job Description can be made available as part of the hiring process.
Minimum QualificationsOutlined 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 7years' experience in an analytics related field.
Option 2:
Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science,Information Technology or related field and 5 years' experience in an analytics related field.
Option 3:
9 years' experience in an analytics or relatedfield.
3 years' supervisory experience.
Preferred QualificationsOutlined 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)Primary Location2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America About Sam's ClubSam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk.
Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.
S.
and 100 clubs internationally.
By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.
Sam's Club employs about 110,000 associates in the U.
S.
The average club is 134,000 square feet and offers bulk groceries and general merchandise.
Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.
Sam's Club is an Equal Opportunity Employer- By Choice.
We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.
That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
Recommended Skills Adaptability Analytical Apache Spark Applied Mathematics Assessments Automation Estimated Salary: $20 to $28 per hour based on qualifications.
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 in-depth knowledge of related practices; Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives and drives the execution of deliverables.
Challenge business assumptions on topics related to one's domain expertise.
Mentor the team members on new business insights and allied developments.
Proactively engage in the external community to build Sam's / Walmart's brand and learn more about industry practices.
Problem Formulation:
Requires knowledge of Analytics/big data analytics / automation techniques and methods; 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 business impact of the solution.
Data Source Identification:
Requires knowledge of Functional business domain and scenarios; Database technologies and distributed datastores (e.
g.
SQL, NoSQL); Data Quality; Define and identify the most suitable sources for required data that is fit for purpose, referring to external sources as required.
Review the deliverables of junior associates and provide guidance on data source and quality.
Data Visualization:
Requires knowledge of Visualization guidelines and best practices for complex data types; Advanced visualization techniques/ tools; Communication & influencing techniques from Tufte to Knaflic; Build compelling stories based on context to integrate multiple pieces of information into cohesive insights.
Customize communication style based on stakeholders and leverages relationships to drive behavioral change.
Guide and mentor junior associates on same.
Analytical Modeling:
Requires knowledge of data analysis methods and techniques to include statistical methods, advanced modelling techniques, and optimization.
Ability to select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.
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.
Create continuous, online model learning along with iterative model enhancements.
Guide the team on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with structured, unstructured, and multiple data sets.
Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness.
Implement model monitoring and model life-cycle management practices.
Ensure model information is documented and maintained by the team.
Code Development and Testing:
Requires knowledge of coding languages like SQL, Java, C++, Python and others; Lead team across software development lifecycle to include design, development, testing, deploying, and monitoring.
Analytical Modeling:
Requires knowledge of data analysis methods and techniques to include statistical methods, advanced modelling techniques, and optimization.
Ability to select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.
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.
Create continuous, online model learning along with iterative model enhancements.
Guide the team on feature engineering, experimentation, and advanced modeling techniques to be used for complex problems with structured, unstructured, and multiple data sets.
Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness.
Implement model monitoring and model life-cycle management practices.
Ensure model information is documented and maintained by the team.
Data Strategy:
Requires knowledge & understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystems.
Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains.
Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning.
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 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 non-compliance; 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.
Live our ValuesCulture Championo Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.
Servant Leadershipo Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparentEmbrace ChangeCuriosity & Courageo Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Changeo Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with Walmart's business model.
Deliver for the CustomerCustomer Focuso Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans and initiatives.
Strategic Thinkingo Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and implementing strategies.
Focus on our AssociatesDiversity, Equity & Inclusiono Supports strategies and drives initiatives that attract and retain diverse and inclusive talent; builds high-performing teams; embraces diversity in all its forms; and actively supports diversity goal programs.
Collaboration & Influenceo Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.
Talent Managemento Creates a discipline and focus around developing talent, 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.
About Walmart Global TechImagine working in an environment where one line of code can make life easier for hundreds of millions of people.
That's what we do at Walmart Global Tech.
We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
People are why we innovate, and people power our innovations.
We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow.
We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career.
Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work:
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.
Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.
This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.
Benefits:
Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance.
Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer:
Walmart, Inc.
is an Equal Opportunity Employer - By Choice.
We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them.
That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.
The above information has been designed to indicate the general nature and level of work performed in the role.
It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job.
The full Job Description can be made available as part of the hiring process.
Minimum QualificationsOutlined 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 7years' experience in an analytics related field.
Option 2:
Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science,Information Technology or related field and 5 years' experience in an analytics related field.
Option 3:
9 years' experience in an analytics or relatedfield.
3 years' supervisory experience.
Preferred QualificationsOutlined 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)Primary Location2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America About Sam's ClubSam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk.
Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.
S.
and 100 clubs internationally.
By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.
Sam's Club employs about 110,000 associates in the U.
S.
The average club is 134,000 square feet and offers bulk groceries and general merchandise.
Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.
Sam's Club is an Equal Opportunity Employer- By Choice.
We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them.
That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
Recommended Skills Adaptability Analytical Apache Spark Applied Mathematics Assessments Automation Estimated Salary: $20 to $28 per hour based on qualifications.
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