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(USA) Senior Director, Data Science

Walmart

Location

Bentonville, AR, US

Salary

$160,000 - $320,000 /yearly

Type

NaN

Posted

Today

via indeed

Job Description

Position Summary...

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What you'll do...

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Essential Functions

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An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation.

Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding;

Precedence and use cases; Business requirements and insights. To collaborate with multiple business stakeholders to gain an understanding of

complex organizational problems from varied perspectives to create effective technology focused solutions. Influence the business to redefine the

problem statement. Design multi-stage, data-driven solutions to real-world problems for issues that are amenable to a data-driven solution. Redefine

data analytics, big data analytics, automation goals, and deliverables by leveraging experience with the business problem. Identify return on

investment.

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; Directly relevant business metrics and business areas. To evaluate proposed business cases for projects and

initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives

the execution of deliverables. Build and articulate the business case and return on investment and delivers work that has demonstrable value.

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 Walmart's brand and learn more about industry practices.

Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical

methods and best-practice advanced modelling techniques (e.g., 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 R/Python; Basic classical optimization techniques (e.g., Newton-Rapson methods, Gradient descent); Numerical methods of

optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) To explore and create automated feature generation

framework. Develop standard EDA process. Develop best practices on experimentation. Drive exploratory work in newer areas of Math, Statistics,

Machine Learning, and Optimization Techniques. Continuously improve the business's data analysis models. Create industry-leading performance by

leveraging new and creative data-sources. Employ the latest in machine learning in the department, Scope, design, and implement new machinelearning models to support the business's initiatives and programs with a view of achieving overall objectives and targets. Guide teams in the

development and delivery of big data predictive technologies models, and fully working prototypes of complex algorithms using readily available

libraries. Model Assessment and Validation: Requires knowledge of model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root

mean square error etc.); Impact of variables and features on model performance To identify and review model evaluation metrics based on analytical

requirements. Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness. Ensure testing information is

documented and maintained by the team.

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 or model ensemble and ensure sustainability and maintenance overtime. Implement model monitoring and

model life-cycle management practices. Assist in creation of innovative user interfaces and support the use of models through collaboration with key

stakeholders. 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.

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 identify and recommend the most suitable visualization

tools based on context. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design

appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end

applications. Define application design based on customer requirements. Build compelling stories based on context to integrate multiple pieces of

information into cohesive insights. Present to and influence audiences using the appropriate data visualization frameworks and conveys clear

messages through deep business and stakeholder understanding. Customize communication style based on stakeholders and leverages relationships to drive behavioral change. Guide and mentor junior associates on story types, structures, and techniques based on context. 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 principles of the defined strategy to complex business problems. 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.

Leadership Expectations

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Respect the Individual:Builds high-performing teams; 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 customer/member experience for all. Respect the Individual:Creates a discipline and focus around developing talent through feedback, coaching, mentoring, and developmental

opportunities; 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; supports

strategies and drives initiatives that attract and retain the best talent. Respect the Individual: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. 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 Walmart’s goal of becoming a regenerative company by taking action to advance opportunity, sustainability, community,

and integrity (e.g., creating fair opportunities for associates and suppliers, driving local giving efforts). Act with Integrity:Ensures that teams follow the law, our code of conduct and company policies; promotes an environment where associates feel

comfortable sharing concerns and models our culture of non-retaliation; listens to concerns raised by associates and takes action and enables others

to do the same; holds self and teams 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, self-aware. Serve our Customers and Members:Delivers expected business results while putting the customer/member first and consistently applying an omnimerchant mindset and acting with an Every Day Low-Cost mindset to drive value and Every Day Low Prices for customers/members. Serve our Customers and Members:Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the

business when making plans and implementing strategies. Strive for Excellence:Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful

questions, and fosters an environment that supports learning, innovation, learning from mistakes, and intelligent risk-taking; and exhibits resilience in

the face of setbacks. Strive for Excellence:Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with

Walmart’s business model.

Physical Activities

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The following physical activities are necessary to perform one or more essential functions of this position.

  • Reads information, often in small print.
  • Visually verifies information, often in small print.
  • Communicates effectively in person or by using telecommunications equipment.
  • Creates documents, reports, etc., using a writing instrument (such as a pencil or pen) or electronic device.
  • Enters and locates information on electronic device.
  • Presents information to small or large groups and individuals.
  • Observes associate, customer, or supplier behavior.

Travel

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Traveling is necessary to perform one or more essential functions of this position.

  • Travels internationally to and from multiple facilities or work-sites requiring extended overnight stay

Preferred Qualifications

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  • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or
  • related field.
  • 10 years' experience in data science, machine learning, optimization models, or related field.
  • Successful completion of one or more assessments in Python, Spark, Scala, or R.
  • 8 years’ experience using open source frameworks (for example, scikit learn, tensorflow, torch).
  • 5 years' supervisory experience.
  • 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.

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 $160,000\.00 - $320,000\.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :

  • Stock

Minimum Qualifications...

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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 7

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 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or related

field.

3 years' supervisory experience.Preferred Qualifications...

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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...

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2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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