Simbe combines shelf-scanning robots, fixed sensors, and RFID in one platform, giving retailers accurate inventory, pricing, and shelf data in real time. Backed by SOSV.
About the role
Own and contribute to a scoped project aligned with the Data Science & Analytics team’s priorities during your internship. Write and maintain SQL and Python used for data analysis, transformation, validation, or automation. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, Statistics, Analytics, Applied Mathematics, Engineering, or a related technical field
- We primarily target students in their final year of study and will also consider strong juniors
- Strong SQL skills and comfort working with structured datasets
- Experience using Python for data analysis, scripting, or automation
- Coursework or hands-on experience in data engineering, analytics, data science, databases, or a related area
- Familiarity with Git or another source-control system
More about this role
Simbe is building the AI-powered operating system for physical retail. Our autonomous robots and multimodal data collection systems turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and analytics to help retailers improve shelf availability, inventory accuracy, store execution, and operational decision-making.
Simbe is looking for a Data Analytics & Data Science Intern to join our Data Science & Analytics team and help turn large-scale retail and robot data into reliable insights, analytical products, and internal tools.
This internship is designed for students who want hands-on experience working with production data systems and solving real analytical problems at the intersection of data engineering, analytics, AI, and robotics.
Work with real production data. Analyze data generated across Simbe’s robot fleet, retail environments, and operational systems.
Learn modern analytics engineering. Gain experience with SQL, Python, BigQuery, dbt, dimensional modeling, data quality, and BI workflows.
Contribute to meaningful work. Your...
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