Doorstep
Data Analyst
On-site — New York City · Full-time · Posted Oct 30, 2026
- Experience
- 1–2 years of experience in a professional context, especially in a startup environment.
- Education
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.
About the job
Analyzes sensor, GPS, delivery, and client data to assess delivery performance, maintain data quality, evaluate machine learning models, and communicate findings.
What you'll do
- Analyze data to identify delivery and dropoff location insights, anomalies, and actionable business findings.
- Design and maintain data quality checks and collaborate with engineering and product teams on quality standards.
- Evaluate machine learning model performance and communicate findings, risks, and tradeoffs.
What they ask for
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.
- Strong proficiency in SQL and Python, including data analysis libraries such as NumPy, Pandas, and Scikit-learn.
- Experience with version control (e.g., Git) and collaboration in a team codebase.
- Solid understanding of core computer science and data science fundamentals; strong attention to detail.
Nice to have
- Experience with dashboards, BI tools, ETL pipelines, statistical analyses, or extracting business insights.
- Exposure to backend development, APIs, distributed systems, testing frameworks such as pytest, or geospatial data and mapping tools.
Tools
SQL, Python, NumPy, Pandas, Scikit-learn, Git, pytest
AI focus
Evaluate the performance of and support iteration on several machine learning models.
Model-written summary · the original posting is authoritative