Walmart
Staff, Data Scientist - Staff Machine Learning Engineer
Walmart, Bentonville, Arkansas, United States, 72712
Position Summary:We are looking for a Staff Machine Learning Engineer to lead the scaling and deployment of cutting-edge machine learning and deep learning models powering the Data Ventures team.About The Team
Data Ventures, akin to a nimble startup incubated within Walmart, is building the best-in-class suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni-channel 360 performance. You will play a lead technical role in architecting scalable data science solutions working with business, product, and engineering partners and deliver outstanding business outcomes. You'll spend your days advocating and implementing MLOps best practices and guiding other DS team members through the processes of optimizing and deploying various ML models and solutions. You will help establish best practices for model deployment, monitoring, and risk assessment, and be instrumental in productionizing and optimizing ML solutions for low latency inference times.What You'll Do
The Staff Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products.Works 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.Participate in internal technical councils and represent the organization in forums that involve the community of machine learning engineers.What You'll Bring
You have an engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projects.You have experience in NLP/NLU, Forecasting and Anomaly detection DS solution development and deployment in real-world scenarios.You have 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.You worked on integrating ML models with web services.Minimum Qualifications
Outlined below are the required minimum qualifications for this position: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: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).Knowledge of accessibility best practices and implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.Primary Location:
2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America
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Data Ventures, akin to a nimble startup incubated within Walmart, is building the best-in-class suite of Data Products to deliver actionable, customer-centric insights and help merchants and suppliers make better business decisions on omni-channel 360 performance. You will play a lead technical role in architecting scalable data science solutions working with business, product, and engineering partners and deliver outstanding business outcomes. You'll spend your days advocating and implementing MLOps best practices and guiding other DS team members through the processes of optimizing and deploying various ML models and solutions. You will help establish best practices for model deployment, monitoring, and risk assessment, and be instrumental in productionizing and optimizing ML solutions for low latency inference times.What You'll Do
The Staff Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products.Works 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.Participate in internal technical councils and represent the organization in forums that involve the community of machine learning engineers.What You'll Bring
You have an engineering mindset and exposure to software engineering principles, Agile methodologies, CICD, distributed systems and implemented that in Machine Learning projects.You have experience in NLP/NLU, Forecasting and Anomaly detection DS solution development and deployment in real-world scenarios.You have 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.You worked on integrating ML models with web services.Minimum Qualifications
Outlined below are the required minimum qualifications for this position: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: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).Knowledge of accessibility best practices and implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.Primary Location:
2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America
#J-18808-Ljbffr