Your impact
This position reports to the Director of Data Science.
Key Responsibilities:
- Develop and maintain comprehensive geospatial data repositories (including tables, schema, metadata, and spatial files) by processing census, OpenStreetMap, and other similar sources.
- Optimize pipelines, frameworks, and systems to facilitate development of data artifacts. Transform raw data into cleaned, organized and actionable formats. Solve data integration problems.
- Ensure high scalability and performance of software components and systems, with optimal use of machine resources.
- Optimize and tune SQL queries to ensure efficient performance and scalability in Google BigQuery.
- Productize data science algorithms within the StreetLight InSight® platform, in collaboration with the data science and web application engineering teams.
- Interface among our United States, Canada and Eastern European teams. Collaborate with engineers, product managers, and data scientists to understand data needs.Participate in peer design and code reviews.
Here's what you'll need
- BS/MS in Computer Science, Mathematics, or an Engineering discipline from a top university.
- 3-5 years of experience in developing software and/or data products, with programming experience with Python, and one other language (Scala, Java, Rust, ect). Strong skills in algorithms, data structures, technical design, and software architecture.
- 2+ years of experience in SQL and relational databases (PostgreSQL or Big Query preferred), and good understanding of relational concepts.
- Experience with cloud and/or big data technologies.
- Strong data analysis skills, statistics, 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.
- Quick learner, and a strong team player
- Geo-spatial skills are a plus.
- Knowledge of transportation data / industry is a plus.
We offer:
- Rewarding employment: Full-time employment with a salary that matches your qualifications.
- Hybrid work model: Enjoy the flexibility of working from home, with just 6 office days per month (on average).
- Flexible hours: Start your day anytime between 7:30 and 10:00 AM.
- Comprehensive benefits: Including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system.
- Co-financed holidays: Enjoy "Wczasy pod Gruszą" for a well-deserved break.
- Global projects: Engage in exciting international projects.
- Inclusive networks: Join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, Toastmasters, Collectively, and more.
- Continuous learning: Participate in our Graduate Development Program, Learners’ Community, and self-learning platforms.
- Language courses: Enhance your skills with courses in English, German, and Polish.
