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Data Science Intern - Transform Insights into Action

robust-aiSan Carlos, CA
On-site Internship

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Experience Level

Entry Level

Qualifications

Currently enrolled in or recently graduated from a degree program in Data Science, Computer Science, Robotics, Systems Engineering, or a related field. Proficient in Python (Pandas, NumPy), R, or similar data analysis tools. Experience with data visualization tools is essential. Enthusiastic about robotics and its practical applications. Excellent communication skills, with the ability to convey technical concepts to a non-technical audience. Experience with ROS and rosbag analysis is a plus.

About the job

robust-ai is seeking a Data Science Intern in San Carlos, CA to help turn raw data from a growing fleet of collaborative mobile robots into actionable insights. As these robots operate across different customer sites, they generate large volumes of telemetry, transaction, and event log data. This internship focuses on transforming that information into clear visualizations and reports that support Product, Engineering, and Customer Success teams in understanding real-world robot performance.

What you will do

  • Automated Dashboards: Build and maintain dashboards and reports using Python, R, or similar tools to track key performance indicators and highlight issues across the robot fleet.
  • Pattern Recognition: Analyze robot logs to detect recurring edge cases, such as identifying why robots at certain sites encounter more docking problems than others.
  • Feature Usage Analysis: Study customer usage patterns of features like fleet energy management and queuing to inform product improvements.
  • Failure Analysis: Work with the Validation team to categorize and visualize safety incidents and hardware failures, aiming to improve overall fleet reliability.
  • Data Pipeline Support: Assist in refining data ingestion systems to ensure accurate capture and reporting of essential robot data.
  • Business Insights: Create visualizations that translate robot telemetry into business metrics, such as throughput consistency and fleet uptime, to help customers make operational decisions.

Requirements

  • Currently enrolled in a degree program in Data Science, Computer Science, Robotics, Systems Engineering, or a related field.
  • Proficient with Python (including Pandas and NumPy), R, or other data analysis platforms. Experience with data visualization tools is required.
  • Interest in robotics and an eagerness to see how code impacts real-world robotic behavior.
  • Strong communication skills, with the ability to explain technical failures and their customer impact to non-technical audiences.
  • Bonus: Experience with ROS and rosbag analysis.

Impact

This internship offers the chance to see direct results from your work. Rather than focusing solely on numbers, you will help optimize a fleet of machines that are shaping the future of supply chain operations worldwide.

About robust-ai

At robust-ai, we are pioneers in the field of collaborative robotics, dedicated to transforming supply chain operations through cutting-edge technology. Our team is passionate about making meaningful contributions to the future of automated logistics.

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