Staff Data Scientist- Deep Learning

Walmart is the largest retail corporation in the world. We extend our reach to 4000 stores across US. The Catalog Data Science team at Walmart is responsible for keeping Walmart's massive catalog data in high quality, and further enriching this data to help supplier onboarding, merchandise acquisition, inventory management, and shopper experience. We use cutting-edge technologies in software engineering, machine learning, deep learning, and analytics to tackle problems ranging from natural language understanding, image classification, and recommendation to outlier detection, visualization, and model serving. We write solid production code in Python, deploy and support model services and pipelines, and drive the limits in latency, throughput, and scalability. The work has high impact on business and user experience.

You'll really wow us if...

• You are highly self-driven and strive to improve your skills by learning the latest Deep Learning techniques and tools
• You are a strong communicator with the ability to work independently and drive projects with business stakeholders
• You thrive in an ever-changing environment that holds within it new challenges and chances to prove your expertise
• You are motivated to collaborate with other team members and empower those around you to excel

This role will be responsible to:

• Evaluate and enhance Deep Learning practices within catalog Trust and Safety (T&S) team at Walmart
• Use NLP, computer vision and other deep learning based ANN techniques to build models for classification, segmentation, detection for T&S use cases

Key Responsibilities:

• Build cutting edge Deep Learning models for Trust and Safety use cases
• Help envision, design, and implement Machine Learning Engineering support systems

Minimum Qualifications:

• Option1- Master's degree in Computer Science, Information Technology, Statistics, Analytics, Mathematics, or related field and 5 years' experience in deep learning
• Option 2 – 7 years of experience in deep learning, computer vision or NLP

Preferred Qualifications:

• 4 - 6 years of experience using open-source frameworks (for example, scikit learn,
• tensorflow, torch)
• 4 - 6 years of experience in data science, machine learning, deep learning, computer vision or image quality

Additional Preferred Qualifications:

• Master's or Doctoral degree in Computer Science (with a focus in Data Mining, Machine Learning and at least one of its disciplines, such as Natural Language Processing and Computer Vision), Statistics, Econometrics, Computational Neuroscience, Operational Research, Physics, or any other quantitative disciplines that require processing and modeling data at a large scale
• Proficient in Python, Spark, SQL, the associated Python packages commonly used by data scientists
• Proficient in Deep Learning libraries such as Tensorflow, Keras, or PyTorch
• Proficient in other languages, such as R, used in data science is a plus
• Strong understanding of and practical experience in a wide range of machine learning
• algorithms
• Good understanding of and practical experience with deploying ML models using Docker, Kubernetes, Apache Airflow, Kafka etc.
• Practical experience with GCP, Azure, AWS or other cloud environments
• Experience working with large structured and unstructured datasets
• Working knowledge of relational and NOSQL databases
• Basic knowledge of data engineering is a plus
• Interested in applying data science to solving retail-related problems
• Strong verbal and written communication skills

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.

About Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That's what we do at Walmart Global Tech. We're a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world's largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.

We're virtual

Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future 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. We'll collaborate in person at a regular cadence and with purpose.