# Data Scientist - Mapping

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Foster City, CA
**Role:** Data Science
**Salary:** $176k – $240k/yr
**Experience:** 3+ years
**Skills:** Python, Hypothesis Testing, Experimental Design, Regression Analysis, Bootstrapping, Permutation Tests, Time-Series Analysis, Large-Scale Datasets, Benchmarking, SQL, Databricks, Computer Vision, Machine Learning, Geospatial Data
**Posted:** 2026-06-18

> Design and build large-scale HD mapping datasets, data pipelines, and benchmarking tools to improve ML model accuracy for autonomous driving. Requires 3+ years experience, strong Python and statistical skills.

## Job Description

## Responsibilities
- Design and build a high-quality, large-scale mapping dataset and data pipelines for training and evaluating machine learning models
- Design and build tools for model performance benchmarking and introspection
- Collaborate closely with machine learning engineers to define and refine data curation and model training strategies that drive measurable improvements in model accuracy and performance
- Collaborate cross-functionally with teams working on perception, planning, prediction, simulation, etc.

## Requirements
- BS or MS in Computer Science or related field and 3+ years of experience
- Proficient in Python
- Strong Statistical Foundations: Deep understanding of hypothesis testing, experimental design, regression analysis, non-parametric/resampling methods (e.g., bootstrapping, permutation tests), and time-series analysis handling autocorrelated data
- Experience with large-scale, multi-modal datasets, benchmarking and introspection
- Ability to identify, clean, and process datasets containing high levels of noise or ambiguous classifications

## Nice-to-Haves
- Experience in computer vision, machine learning algorithms
- Knowledge of geospatial data and coordinate systems
- Ability to write highly complex, optimized SQL queries for massive distributed databases
- Databricks experience

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