Data Scientist, Maps Data

Zoox

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profile Job Location:

Foster, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 11 hours ago
Vacancies: 1 Vacancy

Job Summary

The Data team turns autonomous vehicle and operational data into insights that measure autonomy and service this role youll partner with AI simulation and mission assurance teams to drive improvements guide development and identify high-impact opportunities toward autonomy.

Youll help define how geospatial data and metrics are used across the company enabling Zoox to scale in a data-driven way while working with one of the industrys most unique autonomous vehicle datasets.

In this role you will:

    • Build data pipelines of geospatial features
    • Integrate internal and external geospatial data to enhance our datasets
    • Collaborate with multiple teams to prioritize roadmap on map features
    • Identify key areas of investments for our geospatial datasets and features

Qualifications

    • Bachelors Masters or PhD in CS statistics mathematics or relevant fields
    • Experience with map data and geospatial data analysisFluency in Python or Scala
    • Familiarity with SQL
    • Experience with Spark or large-scale data analysis
    • Experience designing metrics building mechanisms to fuel business insights and driving decision-making at various levels in an organization

Bonus Qualifications

    • Experience with Geospatial Information System (GIS) knowledge of earth systems and geospatial sciences
    • Basic fluency in C
$176000 - $212000 a year
Base Salary Range

There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
About Zoox
Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


Accommodations
If you need an accommodation to participate in the application or interview process please reach out to emailprotected or your assigned recruiter.

A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

IC

The Data team turns autonomous vehicle and operational data into insights that measure autonomy and service this role youll partner with AI simulation and mission assurance teams to drive improvements guide development and identify high-impact opportunities toward autonomy. Youll help define how ge...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.

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