Staff, Data Scientist

Socket.dev; Sunnyvale (CA, AR); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Stock purchase plan

PTO

Flexible working hours

Job summary

Walmart Global Tech is seeking a machine learning specialist to develop and deploy scalable models that improve search relevance and user experience across Walmart’s digital platforms.

You will work with data scientists and engineers to tackle NLP, CV, and IR challenges, building end-to-end ML solutions for millions of customers and driving business impact.

Qualifications

• 5+ years of work and research in machine learning.
• Experience with data cleaning, preparation, featurization and selection techniques.
• Experience with large datasets to solve problems.
• Deep learning libraries TensorFlow and/or PyTorch; Spark and Hadoop.
• Hands-on experience with Python, Java or Scala; ability to write reusable code for ML pipelines.
• Strong communication and collaboration skills; able to work independently and in teams.
• Ph.D. or Master’s degree in CS, AI, OR related fields.

Responsibilities

• Applying ML to maximize relevance of search and minimize risks.
• Build, validate, test, and deploy predictive models.
• Identify, collect, and explore data for modeling and algorithm development.
• Develop ML solutions in NLP, CV, IR, entity recognition, classification, and recommendation.

Skills

Machine learning at scale

Data cleaning/featurization

Python/Java/Scala

Communication & teamwork

Independent & team work

Education

PhD or Master’s degree in CS/AI/Math/Statistics

Tools

TensorFlow

PyTorch

Spark

Hadoop

Job description

Position Summary...

What you'll do...

About Team

We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on our website or mobile app, our service goes to work. We mine billions of search queries and tens of millions of products to find the most relevant products for our customers. Team members take end-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy, and deploying these models to serve customers.

As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP or computer vision. The algorithms you develop will champion customers’ need to express their intent and our goal to understand their preferences, implicitly or explicitly across devices and modalities (voice, text, image etc.). You will develop and deploy machine learned models, to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision. Your work will be visible to millions of customers and you will have a direct impact on the goals of the company. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey.

*****Immigration Sponsorship support will NOT be available for this position

What you'll do

• Applying machine learning algorithms to maximize the relevance of search system and minimize risks.
• Building, validating, testing, and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
• Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development.
• Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommendation system.

What you'll bring

• At least 5 years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale.
• You have experience withdata cleaning, preparation, featurization, and selection techniques.
• You have experience working with large datasets to solve problems.
• Experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and/or Hadoop.
• You have/had hands‑on experience with Python, Java, or Scala and the ability to write reusable and efficient code to automate machine learning pipelines and data processes.
• You have effective communication, interpersonal, and teamwork skills.
• You have the ability to handle multiple concurrent projects while working independently and in teams.
• You can work in a fast‑paced and deadline driven environment.
• Ph.D. or Master’s degree in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields.

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.

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were 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. Weare 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.

Living the Walmart Value

Focus on our Associates /Belonging- Identifies, attracts, and retainstop talent; builds a high-performing team; embraces aculture of belonging

Benefits and Perks

• Incentive awards for your performance.
• 401(k) match.
• Stock purchase plan.
• Paid maternity and parental leave.
• PTO.
• Multiple health plans.
• Flexible working hours.

We are reimagining the tech workplace by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. Well collaborate in person at a regular cadence and with purpose.

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 unique styles, experiences, identities, ideas and opinions while being inclusive of all people.

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.

Sunnyvale, California US-11349: The annual salary range for this position is $143,000.00 - $286,000.00

Bentonville, Arkansas US-10735: The annual salary range for this position is $110,000.00 - $220,000.00

Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:

• Stock

Minimum Qualifications

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.

Option 2: Masters 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

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

1395 Crossman Ave, Sunnyvale, CA 94089-1114, 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.