Staff, Data Scientist

Walmart Global Tech · Sunnyvale, CA · 1 wk ago

On-siteInformation Technology$143k–$286k/yrFull-time

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-to-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, understand their goals, and enable them to make the right purchase decisions. Your work will be visible to millions of customers and directly impact the company's goals.

Responsibilities

Apply machine learning algorithms to maximize the relevance of the search system and minimize risks.
Build, validate, test, and deploy predictive models using machine learning techniques to explain or predict behavior and solve business and engineering problems.
Identify, collect, and explore the right data used for predictive modeling and algorithm development.
Perform and lead developments using machine learning techniques in one or more key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommendation systems.

Requirements

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.
Experience with data cleaning, preparation, featurization, and selection techniques.
Experience working with large data sets to solve problems.
Experience with deep learning libraries like TensorFlow and/or PyTorch, as well as experience with Spark and/or Hadoop.
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.
Effective communication, interpersonal, and teamwork skills.
Ability to handle multiple concurrent projects while working independently and in teams.
Ability to 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.

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

Data science, machine learning, optimization models.
PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
Successful completion of one or more assessments in Python, Spark, Scala, or R.
Using open-source frameworks (e.g., scikit-learn, TensorFlow, Torch).
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.

Benefits

Competitive pay with incentive awards for performance.
401(k) match and stock purchase plan.
Paid maternity and parental leave, PTO, multiple health plans, and flexible working hours.
Short-term and long-term disability, company discounts, Military Leave Pay, adoption, and surrogacy expense reimbursement.
Paid time off for vacation, sick leave, holidays, or other purposes (amount depends on job classification and length of employment).
Live Better U: Walmart-paid education benefit program for full-time and part-time associates, covering tuition, books, and fees for high school completion, bachelor's degrees, English Language Learning, and short-form certificates.

Pay

Sunnyvale, California: Annual salary range of $143,000 - $286,000.
Bentonville, Arkansas: Annual salary range of $110,000 - $220,000.
Additional compensation includes annual or quarterly performance bonuses and stock for certain positions.

Schedule

We are reimagining the tech workplace by making a permanent transition to virtual work for most of our team. In-person collaboration will occur at a regular cadence and with purpose.