Key Responsibilities:
- Design algorithms to infer key transportation patterns from various data sources
- Research and implement suitable strategies (e.g. regression models, ML models, etc.) for solving data science problems
- Find and build real-world data sets for training various models and doing quality checks
- Create visualizations and dashboards to help tell stories with data
- BS/MS in Mathematics, Computer Science or an Engineering discipline. Alternatively, a PhD focused on quantitative research and discovering insights from data is acceptable in lieu of a BS/MS plus experience
- 3-5 years of experience in data science and/or statistics using a coding language (Python preferred)
- 2+ years of experience in SQL and relational databases (PostgreSQL preferred), and good understanding of relational concepts
- Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.)
- Strong data analysis skills, knowing what can/cannot be possible, and ability to visualize data in the best way possible
- Good communication skills - written, visual (presentations), and verbal
- Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms
We offer:
- Full-time employment contract with salary corresponding to qualifications
- Hybrid working model
- Flexible working hours (we start between 7:30-10:00)
- “Short Fridays” (we work 6h on Friday)
- Flexible benefits package (Lux Med medical care, psychological care, life insurance, My Benefit cafeteria system, including Multisport card co-financing, car park sharing system)
