Senior Data Scientist @ WeRide

Senior Data Scientist

Posted on 2/1/2022

INACTIVE

Locations

San Jose, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

Data Structures & Algorithms

Python

Requirements

Passionate about autonomous driving industry
MS or PhD in statistics, math, physics or another quantitative research area
3+ years of experience analyzing large scale data sets and building statistical / ML models
Solid statistical programming skills e.g. in Python or R
Deep understanding of common statistical concepts and techniques
Knowledge of common machine learning frameworks
Eager to learn complex systems and enjoy dealing with ambiguity

Responsibilities

Measure the performance of autonomous driving algorithm by defining core metrics and creating tools to accurately estimate them
Perform deep analyses and build models to understand and improve simulation-based evaluation approaches
Develop and share data-based insights to identify critical challenges and help development team prioritize
Bring statistical rigor to the team and mentor junior team members

WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.

The metric team at WeRide.ai is a core function team consisting of talents with various backgrounds. It aims to provide accurate data-based insight for fast product iteration, by utilizing cutting-edge technology and innovative approaches.

We are looking for a strong senior data scientist in the metric team, who will develop novel methodologies to better gauge the performance of our autonomous driving algorithms based on simulated experiments. In this impactful role, you will be working closely with multiple teams and leverage rich data from various sources.

What you will do:

Measure the performance of autonomous driving algorithm by defining core metrics and creating tools to accurately estimate them.
Perform deep analyses and build models to understand and improve simulation-based evaluation approaches.
Develop and share data-based insights to identify critical challenges and help development team prioritize.
Bring statistical rigor to the team and mentor junior team members.

Requirements:

Passionate about autonomous driving industry.
MS or PhD in statistics, math, physics or another quantitative research area.
3+ years of experience analyzing large scale data sets and building statistical / ML models.
Solid statistical programming skills e.g. in Python or R.
Deep understanding of common statistical concepts and techniques
Knowledge of common machine learning frameworks.
Eager to learn complex systems and enjoy dealing with ambiguity.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:

Premium Medical, Dental and Vision Plan (No cost from employees or their families)

Free Daily Breakfast, Lunch and Dinner

Paid vacations and holidays

401K plan

501-1,000 employees

Website

Autonomous vehicle technology

Company Overview

WeRide's mission is to create a new mobility service that is accessible and beneficial to everyone. The company engineers autonomous vehicle infrastructure.

Benefits

Employee Stock Plan
Competitive Compensation Package
100% Company Paid Premium Medical Plan
Team Building Activities
Paid Vacation And Time-off
Free Hot Breakfast, Lunch And Dinner

Company Core Values

Grow Together: Pursue continuous learning. Achieve fulfillment through personal development and career growth.
Results Driven: Deliver the very best in all we do. Be accountable for our results.
Innovation: Solve novel and challenging problems to revolutionize the mobility industry.
Teamwork: Leverage collective ingenuity. Be open and honest while supporting each other.