Carma Project is improving safety by accelerating response to automotive recalls.
Our mission is to save the lives of millions of people who are currently at risk of being killed or critically injured by life-threatening safety recalls. You’ll be joining at the eve of a massive expansion of one of the most innovative programs the automotive industry has ever seen and you will be working on the technology that we use to proactively identify vehicles with life-threatening safety recalls.
?So, who are we looking for??
The next phase of our journey presents a lot of fun and difficult new challenges. We’re looking for motivated team members who feel most comfortable taking ownership and tackling new challenges head-on. The ideal candidate is an open-minded team player who challenges accepted principles, contributes creative solutions, and prioritizes the success of the team.
Responsibilities
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements
- Proven experience as a Data Scientist or Data Analyst
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
- Previous experience in Automotive industry is a plus