(USA) Director, Data Science

Company:  Walmart
Location: Bentonville
Closing Date: 18/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Job Summary:

As a Director of Data Science in the Risk Technology organization, you will be expected to leverage your expertise in Data Science to drive innovative solutions that prioritize customer trust and privacy. You will support the rapidly evolving field of privacy through data analysis, advanced statistics, developing machine learning/data science models and data best practices utilizing advanced modeling techniques for forecasting and problem solving.


About Team: Risk Technology - Customer Trust Gateway
Create customer-focused privacy experiences, improve trust and transparency, and empower customers with preference and data controls at Walmart. Our organization focuses on managing and delivering world-class products, driving policy compliance, creating partnerships, and developing pipelines and self-service tools. Responsible for Global Privacy Technology Product implementation(s) to earn customers and associate trust.

What You'll Do:

  • Lead the team to research, innovate and develop cutting-edge machine learning, deep learning, reinforcement learning, and GenAI algorithms to continuously improve our operating models.
  • Develop and manage machine learning/data science models that address challenges and opportunities in customer data privacy and performance optimization, risk mitigation, user experience, and operational efficiency.
  • Ensure close collaboration with business partners to continuously and collaboratively launch new models, algorithms, and improvements into production. Present business insights internally and externally. Build key measurements and a test/iterate philosophy to improve results.
  • Challenge accepted approaches and develop innovative solutions that enable explosive growth with the Customer Trust Gateway.


What You'll Bring:

  • You’re experienced with Data Science and Machine Learning (aka A.I.), including Regression, Classification, Ensemble Methods, Deep Learning, Reinforcement Learning, GenAI, etc.
  • You have strong implementation experience with at least one of the programming languages (Python, Java, C++, etc.).
  • You have strong hands-on skills in data wrangling over massive datasets using distributed computing platforms.
  • Experience mentoring junior data scientists or machine learning teams.
  • You’re experienced with end-to-end modeling projects emerging from research efforts.
  • You have an excellent academic or industrial track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications.

About Walmart Global Tech
Imagine 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 experts, 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.

Ways of Working:
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:
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 Qualifications:

  • Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 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 4 years' experience in an analytics related field.
  • Option 3: 8 years' experience in an analytics or related field.

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.

Primary Location:

2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America

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