(USA) Director, Data Science, Digital Identity

Key Skills

Algorithms, Analytical and Problem solving, Data science techniques, Database, Large data sets, Machine learning techniques, MLOps tools, PaaS, Python Programming, PyTorch, R Programming, SAS, SPSS Statistics, SQL, TensorFlow

Job Description

• MS or PhD degree in a quantitative discipline such as Mathematics, Computer Science, Physics, Statistics, Operations Research, Computational Mathematics or related field
• Subject matter expert in building and deploying ML algorithms including deep learning, continual learning, reinforcement learning, and agent-based simulation.
• Deep understanding of data management and governance, MLOps best practices, and proven experience in designing, implementing, and deploying complex, large-scale solutions in these areas
• Proficient in Agile development practices, scrum team management, iterative development and deployment, and 4-in-the-box structures
• Strong people management skills with demonstrated talent management experience including established hiring standards, continuous skills development, mentorship, and sponsorship.
• Strong communicator with the ability to effectively position proposals, collaborate, influence, and build trust with passionate and difficult clients.

You’ll make an impact by…

• Leading and directing the work of a team of highly skilled Data Scientists
• Consultative re-framing of conventional decision processes into machine learning problems
• Deigning and rapidly developing algorithmic solution prototypes
• Summarizing and presenting compelling findings and results to key business stakeholders.
• Managing the production-level development, deployment, and testing of scales solutions

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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can

be made available as part of the hiring process.

Benefits & Perks:

Beyond competitive pay, 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.

Who We Are

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion,

sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com

At Walmart, we offer competitive pay as well as performance-based incentive 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 at https://bit.ly/3iOOb1J .

The annual salary range for this position is $208,000.00-$300,000.00

Additional compensation includes annual or quarterly performance incentives.

Additional compensation for certain positions may also include:

- Regional Pay Zone (RPZ) (based on location)

- Stock equity incentives

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.

Option 2: Masters 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...

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)