Walmart
(USA) Senior Distinguished Data Scientist, eComm
Walmart, Sunnyvale, California, United States, 94087
Position Summary
As an AI/ML Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient AI/ML solutions for our diverse range of projects in product search space. The successful candidate will be responsible for understanding customer experience, business requirements, defining architecture, and leading the development of AI/ML models that drive innovation and enhance business outcomes.
What You'll Do
Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to understand customer experience and business requirements.
Design end-to-end AI/ML architectures that align with business goals and scalability requirements.
Evaluate and select appropriate technologies and frameworks for implementation.
Lead the development and implementation of state-of-the-art AI/ML models.
Identify opportunities for optimization and improvement in model accuracy and efficiency.
Ensure models are accurate, efficient, and scalable for deployment in production environments.
Implement monitoring systems to track the performance of deployed models.
Work closely with data engineers to ensure the availability of high-quality, clean, and relevant data.
Develop and implement data preprocessing and feature engineering pipelines.
Document architecture, design decisions, and code to ensure knowledge transfer and maintainability.
What You'll Bring
10+ years of experience working as a Data Scientist, Solution Architect, or similar role.
Advanced experience working with Generative AI and emerging AI Solutions.
Skilled in establishing credibility and building rapport with Technical and Business stakeholders to increase collaboration and solution adoption.
Expertise in designing and implementing machine learning models for Search or Information Retrieval applications.
Solid grasp of the ML model lifecycle, from data preparation and feature engineering to model selection, training, evaluation, and deployment.
Experience with architecture design documents, technical roadmaps, and business socialization.
Proficiency in using ML frameworks (TensorFlow, PyTorch, sci-kit-learn) and languages (Python, Java) for model development and experimentation.
Excellent problem-solving skills, with the ability to translate business requirements into technical solutions.
Minimum Qualifications
Outlined below are the required minimum qualifications for this position:
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7 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 5 years' experience in an analytics related field.
Option 3: 9 years' experience in an analytics or related field.
Preferred Qualifications
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
Publications or active peer reviewer in related journals or conferences.
Successful completion of one or more assessments in Python, Spark, Scala, or R.
Using open source frameworks (for example, scikit learn, tensorflow, torch).
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
Flexible, Hybrid Work
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.
The annual salary range for this position is $168,000.00-$312,000.00. Additional compensation includes annual or quarterly performance bonuses.
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As an AI/ML Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient AI/ML solutions for our diverse range of projects in product search space. The successful candidate will be responsible for understanding customer experience, business requirements, defining architecture, and leading the development of AI/ML models that drive innovation and enhance business outcomes.
What You'll Do
Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to understand customer experience and business requirements.
Design end-to-end AI/ML architectures that align with business goals and scalability requirements.
Evaluate and select appropriate technologies and frameworks for implementation.
Lead the development and implementation of state-of-the-art AI/ML models.
Identify opportunities for optimization and improvement in model accuracy and efficiency.
Ensure models are accurate, efficient, and scalable for deployment in production environments.
Implement monitoring systems to track the performance of deployed models.
Work closely with data engineers to ensure the availability of high-quality, clean, and relevant data.
Develop and implement data preprocessing and feature engineering pipelines.
Document architecture, design decisions, and code to ensure knowledge transfer and maintainability.
What You'll Bring
10+ years of experience working as a Data Scientist, Solution Architect, or similar role.
Advanced experience working with Generative AI and emerging AI Solutions.
Skilled in establishing credibility and building rapport with Technical and Business stakeholders to increase collaboration and solution adoption.
Expertise in designing and implementing machine learning models for Search or Information Retrieval applications.
Solid grasp of the ML model lifecycle, from data preparation and feature engineering to model selection, training, evaluation, and deployment.
Experience with architecture design documents, technical roadmaps, and business socialization.
Proficiency in using ML frameworks (TensorFlow, PyTorch, sci-kit-learn) and languages (Python, Java) for model development and experimentation.
Excellent problem-solving skills, with the ability to translate business requirements into technical solutions.
Minimum Qualifications
Outlined below are the required minimum qualifications for this position:
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7 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 5 years' experience in an analytics related field.
Option 3: 9 years' experience in an analytics or related field.
Preferred Qualifications
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
Publications or active peer reviewer in related journals or conferences.
Successful completion of one or more assessments in Python, Spark, Scala, or R.
Using open source frameworks (for example, scikit learn, tensorflow, torch).
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
Flexible, Hybrid Work
We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs.
The annual salary range for this position is $168,000.00-$312,000.00. Additional compensation includes annual or quarterly performance bonuses.
#J-18808-Ljbffr