Senior Data Scientist

Key Skills

TextBlob, PySpark, Image processing, OpenCV, Computer Vision (CV), MLOps tools, Text segmentation

Job Description

What you'll do...

About Project Diamond 

Project Diamond is an exciting and high-profile project at Walmart whose purpose is to solve the biggest inventory challenges in retail using Artificial Intelligence, mobile devices, and embedded systems. We are a fast-moving, entrepreneurial team who recently graduated from Store No8, Walmart’s technology incubator, into Walmart Global Tech. Does the process of building a product from scratch, proving business value and rapidly scaling inspire you? Project Diamond might be just what you’re looking for!

Walmart Global Tech is transforming to meet the needs of the future of retail, ensuring that Walmart is that place in which people can grow their careers, and our organization ensures the best experience for the talent we manage and optimal service to the business. Leaders and individual contributors alike look to our Global Talent teams to influence talent strategy, optimize the recruiting process, and enable the business to make the best hiring decisions. This is that place where your passions meet purpose.

About the Role

As a Senior Data Scientist for Project Diamond, your focus will be developing state-of-the-art AI and Machine Learning models to break the barrier of innovation for challenges within our project and beyond. You will partner with other data scientists, product, engineering, store operations and legal teams. You will need to be a
self-starter with bias for action and excellent communication skills. Together, we will pioneer technologies that
reinvent the customer and associate experience, new ways of working, and new ways of shopping.
 

If you are motivated by complex, purposeful challenges, a Senior Data Scientist role within Project Diamond could be the fit you’ve been looking for.

What you'll do

• Build AI & ML models to solve Walmart biggest inventory challenges.
• Analyze complex data elements and develop data models that are easily digestible to help the team make best decisions based off the data.
• Lead discovery sessions and experiments that lead to new groundbreaking model architectures and advancements in inventory management.

What You’ll Need

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3+ years of hands-on experience in predictive modeling and machine learning or Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2+ years of hands-on experience in predictive modeling and machine learning.
• Proficiency in model development, model validation and model implementation.

Proficiency with any one of these libraries - Tensorflow , Keras or PyTorch

• Experience writing complex SQL queries to surface insights from vast amounts of data.
• Comfortable implementing algorithms from scratch.
• Practical experience with cloud services (Google Cloud Platform, Azure etc.)

What Wow Us

• Proficiency with Computer Vision concepts like image preprocessing, image segmentation, blob detection, feature extraction using libraries like opencv.
• Production implementation of Computer Vision Models on large scale systems and mobile/edge devices.
• MLOps Thought Leadership.
• Extensive experience with big data technologies (e.g PySpark).
• Attitude to thrive in a fun, fast-paced start-up like environment.
• Experience in production system operations (MLOps, model scalability, model inventory, etc).
• Has ambition and vigor to add value to a rapidly growing development team.

Perks and Benefits

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.

Minimum Qualifications...

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

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 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 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

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, Master’s degree 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...

350 N SAINT PAUL ST, DALLAS, TX 75201-4240, United States of America