Fast Facts

Amplify is seeking a Data Science Manager to lead and enhance data analytics practices in their Sales, Marketing, and Finance departments. The role involves managing a team of Data Scientists and overseeing the Marketing Analytics scrum team, fostering innovation and best practices in data science.

Responsibilities: Key responsibilities include serving as the technical lead for Marketing Analytics, managing a team of Data Scientists, participating in strategic decisions regarding the data stack, and ensuring successful project delivery against quarterly objectives.

Skills: Candidates should have expertise in data science, machine learning operations platforms, and proficiency in Python for data analysis, along with excellent communication skills and experience leading agile teams.

Qualifications: Requirements include at least 5 years in data science, 2 years with dbt and machine learning operations platforms, experience in leading teams, and familiarity with Large Language Models, among others.

Location: This position is fully remote within the United States.

Compensation: $140000 - $185000 / Annually

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. For more information, visit amplify.com.

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. To accomplish this, the Data Science Manager will serve as the technical lead for a cross-functional Data scrum team focused on Marketing analytics. Additionally, they will hire and manage a team of Data Scientists working on cross functional scrum teams aligned with our Sales and Finance departments. 

This Data Science Manager 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.

Essential Responsibilities:

The Data Department at Amplify is a matrixed organization. This role will have essential responsibilities both as a Technical Lead for the Marketing Analytics scrum team and as a leader within our Data Science function.

Technical Lead for Marketing Analytics:

• Execution: Work with a Product Manager to maintain a high-velocity and high quality data product delivery pipeline.
• Decide: Evaluate different implementation pathways and choose the one which best meets the constraints and allowances of the project at hand.
• Communication and Collaboration: Source, prioritize, evaluate, execute, and communicate the state of a Data project.
• Delivery: 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.

Data Science functional lead:

• Initiative: Identify gaps in Data Scientists’ tools and practices and work proactively to address these.
• People Management: Provide technical guidance, career development and coaching for data scientists.
• Thought Leadership: 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.
• Technical Architecture: Create reference architectures and best practices for building data products in novel domains.

Here are some examples of projects you might work on:

• Lead the evaluation of text to analytics solutions and make a build vs buy recommendation.
• Design a marketing experimentation platform and lead the acquisition or implementation of this platform. 
• Lead the development of a backtesting platform to allow Supply Chain demand planning teams to continuously evaluate and iterate on item demand forecasts.

Required Qualifications:

• 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 and a demonstrated ability to develop your teams’ capabilities.
• Expert user of Python for data analysis tasks (data cleaning, manipulation, analysis) and a demonstrated ability to develop your teams’ capabilities.
• 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.

What we offer:

Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, stock options, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. The gross salary range for this role is $140,000 - $185,000. This role is eligible to earn an annual discretionary bonus that rewards individual and company performance.

Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.

Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email [email protected].

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If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.

Amplify is an E-Verify participant.