Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
As the Engineering Manager of our Data Science Infrastructure team, you will manage 3-5 high-performing engineers and help them to conduct discovery, explore technical options, and rapidly iterate on solutions to fascinating and challenging problems – as well as to navigate ambiguity, work cross-functionally through necessary pivots, and grow as engineers. Your team, in partnership with our data science team, will help solve some of our current infrastructure challenges and focus on enabling easy access to and analysis of our dataset.
Responsibilities:
Our Ideal Candidate Has:
About Engineering at Panorama:
The engineering team is involved in every step of the product cycle, working closely with Panorama’s other teams and our users to brainstorm and build solutions to education’s toughest problems. We have strong technical chops and constantly challenge ourselves. From guest talks, engineering blogs, book clubs, to hackathons, and open-source projects (both in-house and outside), we try to improve ourselves as we help schools around the world do the same.
Panorama excitedly hosts two in-person all team meetings a year. All Panoramians are invited to attend and travel/hotels are provided.
Panorama Education partners with K-12 schools and districts across the country to collect and analyze data about social-emotional learning, school climate, family engagement, and more. With research-backed surveys and a leading technology platform, Panorama helps educators act on data and improve student outcomes. Panorama supports more than 10 million students in 17,000 schools and 1,500 districts across 49 states.