Analytics Engineer – Temporary Position

We are looking for a Technical Data Analyst who excels at data operations, analytical problem-solving, and deriving actionable insights from complex datasets. The ideal candidate will help build an understanding of critical technological gaps that can take our product to the next level. Since we work with a large-scale, complex machine-learning system composed of many interacting engineering components, this role requires strong analytical thinking, systems-level understanding, and the ability to investigate challenging technical problems.

What will your job look like:

• Work closely with developers, product managers, and REM stakeholders to define analysis strategies and support data-driven decision-making.
• Develop a deep understanding of REM's large-scale mapping ecosystem, including map creation, validation, and update pipelines.
• Build analytical models to estimate map creation timelines, operational costs, and scalability across regions and map products.
• Analyze map freshness, update latency, coverage gaps, and map quality to identify opportunities for improvement.
• Analyze the impact of fleet size, geographic distribution, and driving patterns on map quality, coverage, and update velocity.
• Build scripts, automate analysis workflows, and leverage AI-assisted tools to improve productivity and analytical effectiveness.
  
  

• Bachelor’s Degree in Statistics, Industrial Engineering, Biomedical Engineering, Computer Science, Data Science, or a related field.
• 2+ years of experience using Python for data manipulation, analysis, automation, and tool development.
• Strong understanding of complex systems and the ability to analyze interactions across multiple engineering components.
• Experience creating scripts and automating analytical workflows.
• Experience effectively using AI-assisted development tools such as Claude Code and Cursor.
• Strong problem-solving skills, broad vision, and a systematic approach to investigation and root-cause analysis.
• Experience querying and analyzing data using SQL and working with databases.
• Excellent interpersonal and communication skills, with experience collaborating across multiple stakeholders and cross-functional teams.