AI/ML Job: Data Science


Data Science at Viaduct

🇺🇸 United States › California › Menlo Park
  (Posted Apr 3 2022)

Job description
At Viaduct, we are developing an end-to-end machine learning platform to empower automakers to build safer, more intelligent, and personalized vehicles. Our platform increases the accessibility and actionability of connected vehicle data for automakers and their partners and end-customers. We are a diverse team motivated to solve the hardest problems in the automotive industry.

Who You Are
You are a thoughtful data scientist; living by engineering principles and practices. You are end-to-end from ideation to implementation to productionization. You care about delivering real life impact through data science. You are excited by opportunities to build new algorithms and metrics that turn data science into actionable business and technology insights.

Expected Skills
Strong machine learning and statistical analysis skills
Strong analytical thinking to solve challenging problems
Familiarity with working on datasets that don't fit within a single machine
Self-motivated and able to work independently
Excellent spoken and written communication skills
Minimum of advanced degree (M.S. or Ph.D.) in a data science-related field, or 2+ years of experience in a related field
Proficiency in Python and SQL
Hands on experience with ML libraries (scikit-learn, xgboost, MLlib, etc.)
Familiarity with deep learning libraries (Tensorflow, Keras, PyTorch, etc.)
Working knowledge of distributed/cloud compute platforms (AWS, Hive, Spark, Airflow, etc.)
Experience leading a team is a plus

About the Role
Day 5
Learn about Viaduct’s history and mission
Get to know every team member
Set up your development environment
Understand Viaduct’s ML pipeline and data science workflow
Deep dive into the nuances of vehicle data and current modeling techniques
Attend our weekly ML lunch

Day 30
Improve existing modeling techniques
Start planning for Viaduct’s future modeling needs
Promote models to production
Present your work at our weekly ML lunch

Day 90
Be a thought leader on the data science team
Build new models at the forefront of machine learning
Collaborate with engineers on improvements to data science tooling
Present your models and relevant metrics to clients


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