Walmart
Distinguished, Data Scientist – Finance Technology
Walmart, Sunnyvale, California, United States, 94087
Position Summary...
What you'll do...
Join Walmart as
Distinguished Data Scientist – Finance Technology
in our Global Technology EBS team. Your work could help over 240 million global customers live better every week. We are a Fortune #1 company that values diversity, belonging, and community involvement. From day one, you’ll be empowered to do your best work. Walmart’s Enterprise Business Services (EBS) delivers world-class technology solutions impacting every level of Walmart. Joining EBS means limitless growth, innovation, and industry leadership. About the Team
Our team collaborates with Finance to enhance financial planning via data-driven solutions, including advanced time series forecasting and Generative AI (GenAI). We aim to improve efficiency, accuracy, and outcomes in financial operations. What You'll Do
Research and engineer data-driven capabilities for business solutions, developing models and agents to drive value and competitive advantage. Define problems with a machine learning and GenAI mindset, designing data collection strategies for scalable deployment. Develop processes and tools to monitor, analyze, and improve model performance and data accuracy. Collaborate with business and product stakeholders to define strategy, vision, and roadmaps. Lead, mentor, and grow team members in an agile environment. What You'll Bring
Masters or PhD in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related, with 4-7 years of experience. Deep knowledge of neural networks, DL, ML, statistical models, and optimization problems. Proven success in applying deep learning and machine learning to solve business problems. Experience with DL packages like PyTorch, Keras, TensorFlow; programming in Python, SQL, R, Scala, Java. Experience deploying models in production, working with cross-functional teams, Big Data, cloud services, and causal inference. Knowledge of LLMs is a plus. Additional benefits include competitive pay, bonuses, health coverage, 401(k), stock purchase, paid time off, and more. For details, visit
One.Walmart . Minimum Qualifications
Outlined above are the minimum qualifications required for this position. If none are listed, there are no minimum qualifications. Preferred Qualifications
Optional qualifications include expertise in data science, machine learning, optimization, PhD in related fields, publications, assessments in Python, Spark, Scala, R, open-source frameworks, and knowledge of accessibility standards and inclusive design. Primary Location
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
#J-18808-Ljbffr
What you'll do...
Join Walmart as
Distinguished Data Scientist – Finance Technology
in our Global Technology EBS team. Your work could help over 240 million global customers live better every week. We are a Fortune #1 company that values diversity, belonging, and community involvement. From day one, you’ll be empowered to do your best work. Walmart’s Enterprise Business Services (EBS) delivers world-class technology solutions impacting every level of Walmart. Joining EBS means limitless growth, innovation, and industry leadership. About the Team
Our team collaborates with Finance to enhance financial planning via data-driven solutions, including advanced time series forecasting and Generative AI (GenAI). We aim to improve efficiency, accuracy, and outcomes in financial operations. What You'll Do
Research and engineer data-driven capabilities for business solutions, developing models and agents to drive value and competitive advantage. Define problems with a machine learning and GenAI mindset, designing data collection strategies for scalable deployment. Develop processes and tools to monitor, analyze, and improve model performance and data accuracy. Collaborate with business and product stakeholders to define strategy, vision, and roadmaps. Lead, mentor, and grow team members in an agile environment. What You'll Bring
Masters or PhD in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related, with 4-7 years of experience. Deep knowledge of neural networks, DL, ML, statistical models, and optimization problems. Proven success in applying deep learning and machine learning to solve business problems. Experience with DL packages like PyTorch, Keras, TensorFlow; programming in Python, SQL, R, Scala, Java. Experience deploying models in production, working with cross-functional teams, Big Data, cloud services, and causal inference. Knowledge of LLMs is a plus. Additional benefits include competitive pay, bonuses, health coverage, 401(k), stock purchase, paid time off, and more. For details, visit
One.Walmart . Minimum Qualifications
Outlined above are the minimum qualifications required for this position. If none are listed, there are no minimum qualifications. Preferred Qualifications
Optional qualifications include expertise in data science, machine learning, optimization, PhD in related fields, publications, assessments in Python, Spark, Scala, R, open-source frameworks, and knowledge of accessibility standards and inclusive design. Primary Location
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
#J-18808-Ljbffr