(USA) Staff, Data Scientist

Walmart; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Job summary

Join a forward-thinking team as a Staff Data Scientist, where you'll leverage cutting-edge machine learning and deep learning techniques to tackle complex challenges in computational advertising. This role offers the unique opportunity to work alongside some of the best minds in the industry, driving innovation that impacts millions of customers. Your expertise in data science will be pivotal in optimizing advertising performance and enhancing eCommerce experiences. With a flexible hybrid work environment, you'll collaborate with diverse teams, ensuring your contributions lead to meaningful advancements in technology and retail. If you're passionate about making a difference, this position is perfect for you.

Benefits

401(k) match

Stock purchase plan

Paid maternity and parental leave

PTO

Multiple health plans

Incentive awards for performance

Flexible working hours

Collaborative work environment

Qualifications

• Experience with Data Science and Machine Learning techniques.
• Strong implementation skills in Python or similar languages.
• Graduate degree with emphasis in Machine Learning and Data Science.

Responsibilities

• Develop machine learning algorithms to optimize ad relevance and conversions.
• Process large e-Commerce datasets to extract insights.
• Collaborate with teams to implement models and present insights.

Skills

Data Science

Machine Learning

Deep Learning

Reinforcement Learning

GenAI

Data Wrangling

Python

Java

C++

Distributed Computing

Education

Bachelor’s degree in Statistics, Economics, or related field

Master’s degree in Statistics, Economics, or related field

PhD in Machine Learning or related field

Tools

scikit learn

tensorflow

torch

Spark

Scala

R

Job description

Position Summary:

The Staff Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining, and optimization techniques to solve challenging problems from ads relevance, ranking to campaign optimization. You will have a chance to work with the world's best machine learning scientists, engineers, and product managers to solve the most challenging problems for Walmart e-Commerce and advertising business.

About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do:

• Research, innovate, and develop cutting-edge machine learning, deep learning, reinforcement learning, GenAI algorithms to continuously drive ads relevance and conversions; build end-to-end systems and solutions to optimize advertising product performance.
• Experiment and process large scale e-Commerce datasets using distributed computing platforms, mining insights from data, discovering and building models that optimize towards various business goals and metrics.
• Work closely with leadership, product managers, and system engineers to continuously and collaboratively ship new models, algorithms, and improvements into production. Present business insights internally and externally.

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.
• 2+ years of experience mentoring junior data scientists or machine learning teams.
• You have strong written and oral communication skills.
• You have a graduate degree in a computational science with a lot of emphasis in Machine Learning and Data Science.
• You have experience in online advertising, recommender systems, search engines, eCommerce, or related areas.
• 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.

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:
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.

The annual salary range for this position is $143,000.00-$286,000.00. Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.

Minimum Qualifications:
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 4 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 2 years' experience in an analytics-related field.
• Option 3: 6 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.
• 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:
680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America