Your impact
This position requires strong data science skills as well as a strong interest or background in transportation or adjacent fields. This job reports to the PM of early-stage products and will collaborate heavily with other data scientists at StreetLight. The role is at a mid-level or senior level. If you possess the core qualifications and believe you can bring significant value to our team, we encourage you to apply!
Key Responsibilities:
- Design algorithms and models to infer key transportation patterns from various data sources, both StreetLight’s own data and metrics as well as third party data
- Collaborate with the PM of Skunkworks and other internal teams to turn high-level specifications into clean, accurate analytics and collaborate to convey them via mock-ups, using third party data visualization or custom-built tools
- Collaborate with the PM of Skunkworks and teammates to share insights about what could be learned from this data
- Research academic and other third-party sources to design methods to create validation reports for new metrics. This includes developing expertise with important public data sets, such as the census, NHTS, economic survey, and ACS, and important modeling and geospatial programming packages/libraries
- Keep excellent documentation of code and research, to facilitate handing off to internal teams when applicable
- Research and implement suitable strategies (from neural networks to a simple SQL filter, if that’s more actionable) for solving data science problems
- Find and build real-world data sets for training various models and performing validations
- Define and implement customized and/or cutting-edge solutions with pilot customers.
Here's what you'll need
- BS/MS in Mathematics, Science, Computer Science, Transportation or Civil Engineering, Transportation, or a similar discipline
- 5+ years expertise and experience in exploratory data analysis and modeling using Python
- 5+ years expertise and skills in data visualization and business intelligence tools such as Tableau, ESRI, or QGIS
- 2+ years of experience in the transportation industry or an adjacent field, such as energy or city planning. This includes working in roles within government, consulting, private-sector mobility, or non-profits
- Experience or understanding of geospatial modeling
- 2+ years of experience in SQL and relational databases (PostgreSQL preferred), and good understanding of relational concepts
- Experience working with very large datasets in a SQL environment
- Understanding of techniques in data science (machine learning algorithms, forecasting, regression analysis, etc.)
- Strong data analysis skills, knowing what is/isn't possible
- Strong data visualization and data story-telling skills, including ability to visualize data in the best way possible
- Good written, visual (presentations), and verbal communication skills
- Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms
- Quick learner, ability to self-direct, and a strong team player
We offer:
- Unique company culture fostering individual career growth and work-life balance
- Full-time employment contract with salary corresponding to qualifications
- Hybrid working model
- Flexible working hours
- “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)
- Membership in Jacobs employee networks (Women's Network, OneWorld, PRISM, Careers Network, Green Team, Toastmasters, Collectively and others)
- Continuous development opportunities, including a range of professional trainings and certifications (e.g. ACCA, CIPS),Graduate Development Program, Learners’ Community, self-learning platform
