Staff Data Scientist - AR/VR

Key Skills

Augmented Reality (AR), Python Programming, R Programming, Scala Programming, Scikit-learn, SPARK Programming, TensorFlow, Torch library

Job Description

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.?

About Emerging Tech Team

The Emerging Tech team is passionate about solving customer and associate problems with the newest technologies. The team is responsible for creating breakthrough capabilities, delivering frictionless experiences and making these technologies easily available to thousands of Walmart developers and 2.2 million associates. The applications and services built on these capabilities are used by hundreds of millions of customers daily.

Responsibilities:

• Process large scale Walmart datasets using distributed cloud computing technologies to measure, understand, and bring insight to our merchandise data.
• Build and maintain ML/DL model pipelines and services with focus on data analytics.
• End to end ownership and collaboration with product, engineering, vendors, and annotation partners to drive production ML application integrations and maintenance.
• Collaborate with other internal Walmart Data Science teams to enable high quality user experiences powered by AI/ML.
• Support business objectives by collaborating with business partners to identify opportunities to improve our high-priority initiatives.
• Collaborate with the Data Engineering team to gather the right information from our various sources.
• Conduct exploratory analysis including hypothesis testing, statistical inference, and statistical analysis.

Minimum Qualifications:

• Master's degree in Computer Science and 4 years’ experience with specialization in data science or equivalent practical experience.
• 3 years' experience with machine learning algorithms and tools and 1 year of experience in deep learning. Experience in Machine Learning models in products and building production pipelines/services.
• Experience with Hadoop, Scala, Python, Spark, and BigQuery.
• Expert in distributed computing dealing with large data volumes.

Preferred Additional Skills:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 2 years of experience in a technical leadership role in medium to large scale complex cross-functional projects.
• Experience in leading small groups of data scientist by providing directions and tasks.
• Experience with deep learning in augmented reality and virtual reality.
• Experience with GCP, advance modelling techniques and tools.
• Experience in building standards across engineer teams.
• Demonstrated knowledge with data modelling with data strategy for data pipelines and data products.

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.? 

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.??? 

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no 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...

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)

Primary Location...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America