Senior Data Scientist, Computer Vision

Key Skills

Java Programming, Python Programming, Database, SQL, Deep Learning, Keras software library, NoSQL, PyTorch, TensorFlow

Job Description

Walmart is the largest retail corporation in the world and the Merchant Tech Data Science team is disrupting and revolutionizing the establishment by being more data driven in their analysis and integrating Machine Learning algorithms to get a more comprehensive understanding of details missed by humans. We extend our reach to 4000 stores across US for testing and deploying sophisticated models of all kinds for every facet or step during the retail supply chain lifecycle. The sophistication afforded by machine learning algorithms allows for more segmentation, which allows for more detailed and descriptive insights. In attempting this, we are also reshaping the attitude of the business towards adopting and trusting AI to be most impactful based on the amount of historical data and investment required.

There is a wide gamut of challenges, and the obstacles are numerous to shift the thinking between solving for customers’ needs in physical stores versus e-commerce. The challenge of employing ML techniques in retail at such a wide scale, across varied categories of items, presents a great opportunity for creative solutions. The Catalog Data Science team tackles this task and its problems at multiple fronts.

The Catalog Data Science team 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…

• Your ability to rise above group think and see beyond the here and now is matched only by your intellectual curiosity. 
• You consider yourself to be a student of the world who thrives in an ever-changing environment that holds within it new challenges and chances to prove your expertise.
• You level up when you have the opportunity to teach others and empower those around you to excel.

This role will be responsible for:

• Evaluate and enhance image in Walmart catalog
• Use computer vision techniques to create models for classification, segmentation, detection and image quality enhancement.

Key Responsibilities:

• Image type classification
• Image quality evaluation wrt. eCommerce usage
• Create image enhancement models
• Help envision, design, and implement supporting systems.

Minimum Qualifications:

• Option 1- Master’s degree in Computer Science, Information Technology, Statistics, Analytics, Mathematics, or related field and 3 years' experience in computer vision.
• Option 2 - Doctoral degree in Computer Science (with a focus in Deep Learning, Machine Learning and at least one of its disciplines, such as Computer Vision, Natural Language Processing)
• Option 3 – 5 years. of experience in deep learning, computer vision or image quality

Preferred Qualifications:

• Successful completion of one or more assessments in Python, Spark, Scala, or R
• 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, SQL, the associated Python packages commonly used by data scientists, and Deep Learning libraries, such as Tensorflow, Keras, and 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 statistical modeling
• Practical experience of using cloud computing
• Experience working with large structured and unstructured datasets
• Working knowledge of relational and NOSQL databases
• Basic knowledge of data engineering is a plus
• Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and 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.?