About the Role

At Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice.  

Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to–through team leadership and support–leverage data science to advance critical research and development (R&D) efforts for our products. You will manage our growing team of 4 high-performing data scientists as well as advise and support them as they develop our data science architecture and tech stack, leverage educational data for R&D purposes, develop equity-first analytics products, and grow professionally. You’ll work closely with and report to Panorama’s Director of Research and others on our Engineering, Product Management, and Information Security teams–as well as company leadership–on data science strategy, planning, hiring, and execution.

Responsibilities:

• Oversee the compiling, cleaning, managing, analysis, and visualization of large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
• Advise and support data scientists as they 1) design, secure, and implement data pipelines and infrastructure to enable product development and advance company goals 2) apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
• Develop data and human systems that foster innovation, inclusion, excellence, and equity
• Support team members in their individual and collective impact, growth, satisfaction, and well-being
• Organize sprints, oversee data science project management, and ensure that estimates are accurate and deadlines are met
• Hire and onboard a diverse set of data scientists.
• Help envision and lead the next phase of our data science strategy and efforts, including team, technology, and security practices, as well as the development of analytic products

Our Ideal Candidate Has:

• 3+ years of experience as a Data Science Manager, a passion for helping team members thrive through individual support and system-level improvements, and a track record of improving team practices
• Demonstrable and broad expertise that includes data pipelining, cloud computing, manipulating large datasets, and using traditional and modern statistical methods to solve user problems
• Ability to thrive as a team player in a collaborative, small-team environment