Staff Data Scientist
2 weeks ago
We are seeking a highly skilled Staff Machine Learning Engineer to lead the scaling and deployment of cutting-edge machine learning and deep learning models powering our Data Ventures team. As a key member of our team, you will play a lead technical role in architecting scalable data science solutions, working closely with business, product, and engineering partners to deliver outstanding business outcomes.
Key Responsibilities- Build scalable end-to-end data science solutions for our data products.
- Work closely with data engineers, data analysts, data scientists, and application developers to help build ML and statistics-driven models and continuous model monitoring workflows.
- Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data.
- Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle.
- Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale, and deploy holistic machine learning solutions after successful prototyping.
- Guide team members in achieving MLOps-driven data science outcomes and handle multiple products and initiatives.
- Follow industry best practices, stay up to date with, and extend the state of the art in machine learning research and practice.
- Engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems, and implemented that in Machine Learning projects.
- Experience in NLP/NLU, Forecasting, and Anomaly detection DS solution development and deployment in real-world scenarios.
- Strong knowledge of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, Shell scripting.
- Experience in scaling infrastructure to support high-throughput data-intensive applications using PySpark/GPU.
- Worked on integrating ML models with web services.
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.
Benefits & PerksBeyond 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 EmployerWalmart, 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.
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