Staff Data Scientist (Catalog Data Science)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

What you'll do...

Here at Walmart, we’re driven by an intellectual curiosity that keeps us on the cutting-edge of technical excellence and a seamless customer experience. We’re intrigued by the opportunity to engineer the most optimal approach that drives conversions and generates consumer loyalty across every touchpoint of the digital journey.

About the Team

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.

About You

What you will do as a member of the team

• Master and help evolve the team’s technical stack (centered on Python, cloud, ML/DL, Docker, Kubernetes); understand Walmart’s product, data and pipeline systems.
• Research, design, and implement data models and cutting-edge algorithms on high-dimensional, fast-moving, unstructured and structured data.
• Process complicated and large-scale datasets using distributed computing platform; extract insights from data.
• Write solid production code in Python. Conduct code reviews; help maintain and improve code quality across projects of the team.
• Lead projects (e.g., 2-5 developers, 6+ months). Take ownership of whole lifecycle of projects. Communicate with product managers, data science and engineering teams to align progress and collaborate on system integrations. Productionize solutions (such as in the form of model servers or cron jobs); maintain and continuously improve the solutions; address production issues. Present on projects within team or beyond to boost understanding, visibility, and business impact.
• Mentor junior team members, typically as a part of leading projects.

Minimum Qualifications...

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

• PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
• 7 - 10 years of production level Experience working with Data science, machine learning, optimization models
• Successful completion of one or more assessments in Python, Spark, Scala, or R
• 4 - 6 years of production level Experience using open-source frameworks (for example, scikit learn, TensorFlow, torch)

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

• Good skills in Python programming, or good skills in other languages and intermediate skills in Python.
• A disciplined approach to development, code review, testing, documentation, code structure, and version control with git.
• Proficiency in ML and DL libraries such as scikit-learn, PyTorch, TensorFlow, NumPy. Familiarity with the software ecosystem of “Py Data”, ML, and DL.
• Significant experience with both “tradition” machine learning models (such as classification, random forest, boosting, ensemble) and deep learning models (such as transfer learning, reinforcement learning, especially on text and image problems).
• Experience going through the full lifecycle of a real-world modeling project (e.g., 6+ months), in a leading role, from inception, problem definition, solution design, to implementation, production deployment, maintenance, and refactor.
• Experience using massive amounts of data, hence dealing with tools such as Hive, Spark, Kafka, Big Query, Elastic Search, Mongo, MySQL, Postgres, data lake.
• Experience with Cloud technologies (e.g., from AWS, Azure, and GCP (Google Cloud Platform).
• Experience with debugging, profiling, and efforts to improve code efficiency and scalability.
• Experience with distributed computing using tools such as Spark, Dask, Ray, Kubernetes, etc.
• Experience with data visualization using tools such as matplotlib, bokeh, plotly, altair, searborn, etc. A good feel for making data plots clean and informative.
• Experience developing and using Restful APIs, model services.
• Experience with HTML, CSS, and basic web development, setting up a website with compelling visualizations and interactions to showcase work or facilitate monitoring/diagnostics.
• Publication of peer-reviewed journal articles, as a lead author, on machine learning or software system topics. Or presentations of tech work in other public venues.
• Contribution to open-source projects, or a personal GitHub account with some public repos to showcase work or provide open-source libraries.
• Experience mentoring team members.

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.