Data Scientist

5 days ago


Andover, Massachusetts, United States Walmart Advanced Systems and Robotics Full time
Job Title: Staff Data Scientist

We are seeking a highly skilled Data Scientist to join our team at Walmart Advanced Systems and Robotics. As a Staff Data Scientist, you will play a key role in developing predictive maintenance technologies for our fleet of autonomous mobile robots.

Key Responsibilities:
  • Develop and implement data-driven models and algorithms to support predictive maintenance decisions.
  • Collaborate with cross-functional teams to design and implement predictive maintenance services.
  • Work with software development teams to deploy and maintain predictive maintenance models.
  • Build and maintain large datasets, including data collection, cleaning, and transformation.
  • Develop and maintain Python applications and deploy them to Kubernetes environments.
  • Negotiate product requirements with stakeholders and manage project roadmaps and deliverables.
Requirements:
  • PhD or MS in Engineering, Applied Mathematics, Statistics, or Physics.
  • 2-5 years of post-graduate experience in data science or a related field.
  • Deep knowledge of signal processing and time-series anomaly detection.
  • Experience with machine learning modeling techniques, including linear and non-linear regression, RNN/LSTM, and Kalman Filtering.
  • Proficient in Python, MATLAB, R, or Julia, and experienced in traditional and deep learning frameworks.
  • Familiarity with query languages, cloud environments, and modern software development tools and processes.
What We Offer:
  • Competitive pay and performance-based bonus awards.
  • Comprehensive health, vision, and insurance plans.
  • Unlimited PTO for salaried employees.
  • Up to 12 weeks of fully paid maternity/paternity leave.
  • Special Walmart discounts for in-store and online purchases.
  • Complimentary daily lunches, beverages, and snacks.

We are 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, abilities, ideas, and opinions – while being inclusive of all people.



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