Data Science Manager

Amplify

109d • $140,000 - $185,000

About The Position

A pioneer in K–12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states. We are looking for an experienced Data Science Manager to grow the application and impact of Data Science techniques within Amplify’s Sales, Marketing and Finance departments. This role will be pivotal to the growth of best practices in data analytics, and the introduction of experimentation and machine learning into these departments. The Data Science Manager will serve as the technical lead for a cross-functional Data scrum team focused on Marketing analytics and will hire and manage a team of Data Scientists working on cross functional scrum teams aligned with our Sales and Finance departments. This role will report to the Director of Data Science and Analytics and is considered a leadership position within Amplify’s Data Department. As a result, you will be empowered to innovate and participate in important decisions across the entire data stack. Additionally, the culture here at Amplify cannot be beat. As an education company, we embody the mantra of 'no stupid questions'. We also recognize that life doesn’t always perfectly fit the 9-5 schedule, and as such we have an unlimited PTO policy and flexible work schedules. Amplify is also a remote first company, meaning that you can work from anywhere in the United States.

Requirements

• 5+ years of experience in a data science or related role.
• 2+ years experience working with dbt.
• 2+ years experience with a Machine Learning operations platform like Snowpark ML, Databricks/ML Flow, AWS Sagemaker or equivalent.
• 2+ years of experience as a technical team lead and a people manager.
• 1+ years of experience developing data products that leverage Large Language Models/Generative AI.
• Expert in the training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost.
• Expert user of Python for data analysis tasks (data cleaning, manipulation, analysis).
• Demonstrated ability to turn vague business problems into projects which data science can address.
• Experience owning a portfolio of Data products, making strategic decisions about when to continue investing in a product or to deprecate it.
• Excellent communication skills in writing and conversation, especially with non-technical partners.
• Experience leading agile teams and rituals like Storytime, Story Splitting, Story Estimation, and Retrospectives.

Responsibilities

• Work with a Product Manager to maintain a high-velocity and high quality data product delivery pipeline.
• Evaluate different implementation pathways and choose the one which best meets the constraints and allowances of the project at hand.
• Source, prioritize, evaluate, execute, and communicate the state of a Data project.
• Take responsibility for successful delivery against quarterly objectives, including leading your team in establishing best practices in estimation, requirements analysis, balancing trade offs, and executing against commitments.
• Identify gaps in Data Scientists’ tools and practices and work proactively to address these.
• Provide technical guidance, career development and coaching for data scientists.
• Maintain a pulse on the state of the art in Data Science and strategically introduce new tools or techniques to the Data Science function in order to grow their capabilities and efficiency.
• Create reference architectures and best practices for building data products in novel domains.

Benefits

• 401(k) plan
• stock options
• competitive health insurance and mental health options
• basic life insurance
• paid time off
• parental leave
• access to best-in-class development programs
• annual discretionary bonus that rewards individual and company performance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees