Data Scientist

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

• 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.

• 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 with
  data cleaning, preparation, featurization, and selection techniques.
• You have experience working with large datasets to solve problems.
• Experience with deep learning library like Tensor Flow and/or Py Torch 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.

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…