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Panoramians can choose to work fully remote anywhere within the Continental United States, in-person from our Boston office, or a hybrid option.
Title: Sr. Data Scientist II
Location: United States
About Panorama: Panorama is a fast-growing national technology company focused on radically improving education. More than 2,000 school systems serving 15 million students across all 50 states have adopted our platform to understand students’ academic and social-emotional strengths and to identify those in need of additional support. School systems turn to our suite of tools to ensure that every child gets the support they need, including school climate and social-emotional learning surveys, tiered intervention planning, and professional development.
Panoramians can choose to work fully remote anywhere within the Continental United States, in-person from our Boston office, or a hybrid option.
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 leverage data science to advance critical research and development (R&D) efforts for our products.
In this role, you will
- Compile, clean, manage, analyze, and visualize 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
- Assist product teams in the development and delivery of product metrics to help drive adoption and retention
- Innovate and help engineer data pipelines and infrastructure to enable product development and educational research
- 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
- Imagine and help implement data-driven and ML-powered products that aid educators to better support students
- Collaborate closely with other data scientists, researchers, engineers, designers, and product managers
- Concisely summarize extant scholarship and best practices to make that knowledge usable for other team members
- Work with colleagues and company leadership to develop our data science strategy, priorities, and practices
This role is for you if you
- Have demonstrable expertise in using data and analytics to reveal insights and improve decision-making
- Can manipulate large datasets through parallel computing (e.g. pyspark and sparkR) and convert them into analyzable formats
- Have broad expertise in traditional and modern statistical methods including, for example, regression, multilevel modeling, psychometrics, dimension reduction, clustering, machine learning, and causal inference
- Are fluent in one or more relevant programming languages (e.g., Python, R), data manipulation tools within programming language(s) (e.g., Pandas, dplyr) and RDBMSs (e.g, PostgreSQL)
- Can program scripts (e.g., for data cleaning) not available in existing packages
- Are a team player who thrives in a collaborative, small-team environment
- Have formal education or training in data engineering, data science, or statistics
- Have prior experience working with software engineers and/or product managers as a data scientist, engineer, or analyst
- Bonus: Prior experience working with K-12 educational data or at an ed tech company
Base Salary: $140,400 – $156,000 – $187,200
The Base Salary range represents the low and high end of the anticipated salary range for this position across all US locations. The determination of this anticipated Base Salary range involves the consideration of many factors in making compensation decisions including but not limited to: unique skill sets, experience, training, performance, licensure and certifications, as well as other business and organizational needs. Our anticipated Base Salary determination is just one component of Panorama’s competitive total rewards strategy that also includes annual bonus or commission awards, equity awards, as well as other region-specific health and welfare benefits.
Panorama Education is dedicated to building a erse and inclusive company because we serve students, educators and families from tremendously erse backgrounds and identities across the country; we’ve seen how our product and impact are strengthened the more we reflect that ersity. In addition, we have found (and we believe the research) that erse teams are higher-performing, and we embrace the varied perspectives that our team members share with each other. As such, we are an Equal Opportunity Employer. Panorama also has a policy on maintaining a drug-free workplace.
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