Cruise

Senior Data Scientist, Commercial Operations

Job Description

Posted on: 
February 9, 2023

We’re looking for a Senior Data Scientist to build data systems to help understand our commercial performance and drive action through insights. We are looking for someone who can not only skillfully manipulate data but also work effectively with a wide variety of stakeholders involved in our Commercial Operations. This role will report into the Commercial Operations Data & Analytics (CODA) organization.

Responsibilities

  • Design, build, launch, and maintain databases, data pipelines, dashboards, reports, and models to help improve AV operations
  • Utilize Looker, Google Cloud, SQL, and Python to pull data and provide analytical insights to solve operational and business problems
  • Serve as dedicated partner to specific Business Unit or function, developing metrics, insights, strategic recommendations, analytical tooling, and concrete initiatives to improve outcomes
  • Monitor databases for data integrity and quickly resolve issues using an agile approach
  • Set up tests and perform statistical analyses to determine the effectiveness of operational improvements
  • Train cross functional stakeholders on how to use Cruise’s operational data to improve their workflows

Job Requirements

  • 3+ years of experience analyzing, manipulating, and visualizing large datasets and building databases, models, and data pipelines
  • Advanced proficiency in SQL along with significant Python experience
  • Self-starter with a bias for action
  • Passion for generating new ideas from data, including proposed process changes
  • Experience using Looker, Tableau, or similar Business Intelligence applications
  • Excellent written and verbal communication skills
  • Comfort with ambiguity
  • Bachelor’s degree or extensive undergraduate coursework in Computer Science, Statistics, Mathematics, or related STEM field
  • General knowledge of statistics

BONUS POINTS

  • Proficiency in R, C++, and/or other coding languages
  • Master’s degree in a related field
  • Advanced statistics knowledge
  • Experience in automotive industry, operational environment, or similarly fast-paced technology environment
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