Data Scientist
Viaduct
Data Science
Slovenia
Posted on Sep 11, 2025
About Us
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 motivated by real-world problems and enjoy working with customers to solve their biggest challenges. You are excited by opportunities to deliver value by turning data science into actionable business and technology insights
Expected Skills
- Strong machine learning and statistical analysis skills
- Comfort working side-by-side with customers
- Strong presentation skills communicating technical concepts to non-technical audiences
- 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.)
Security and Privacy responsibilities
- Follow our policy and procedure documents related to security and privacy
- Follow the guidelines in the Employee Handbook
- Participate in new hire and annual training for security and privacy
- Treat data security and privacy as one of your primary job responsibilities
- Report Security Incidents you discover as bugs
- Get approval from the Security Team before adding new 3rd party software to our codebase
- Explicitly consider security implications when doing PR reviews
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
- Learn about our current partners, their biggest needs, and the gaps they’re looking for us to fill
Day 30
- Present your first deliverables internally
- Start planning for Viaduct’s future Data Science needs
- Present your work in the Data Science Guild
Day 90
- Be a thought leader on the data science team
- Collaborate with Data and Application Engineers on improvements to data science tooling
- Ship your first Data Science deliverables as part of a product release