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About Amplify
Amplify helps teachers bring delight and rigor to students every day. We have become a leader in K–12 literacy, biliteracy, math, and science by building inspiring teaching and learning experiences based on research. The Amplify Classroom platform combines curriculum, assessment, and supplemental learning into one coherent high-quality instructional system. A pioneer in education since 2000, Amplify has developed deep relationships in states and districts by partnering with educators to drive implementation quality and improved outcomes. Today, Amplify serves more than 18 million students and teachers across all 50 states and on six continents. For more information, visit Amplify.com.
We are hiring a Senior Data Scientist for our Sales Analytics team. You will own sales forecasting and champion data-driven decision making across our sales organization. Day-to-day, that means analyzing sales trends, building models that predict sales across product lines and regions over different time horizons, and turning those forecasts into recommendations for revenue and planning decisions.
You will report to our Data Science Manager and work on a scrum team with Analytics Engineers and Data Analysts, shipping data products end-to-end. You will participate directly in decisions across the data stack, from planning how source data is modeled to innovating on solutions for the sales team.
Essential Responsibilities:
Develop sales forecasting excellence: by building statistical and machine learning models that meet forecasting needs across business domains. Contribute to self-service analytics and data tools so that our business partners can get answers without waiting on the team.
Own the end-to-end machine learning lifecycle: scoping, feature engineering, model training and testing, deployment, monitoring, and explainability.
Drive strategic business partnerships: translate model outputs into actionable recommendations for business leaders, including which drivers move the sales forecast and by how much.
Provide technical leadership: mentor junior data scientists, lead technical design reviews and learning sessions, and help shape the team's roadmap and standards.
Required Qualifications:
5+ years of experience in a data science role, with 3+ years focused on sales forecasting, demand forecasting, or revenue analytics. A graduate degree in a science or other quantitative field (e.g., Computer Science, Economics, Math, Physics, Statistics) may count toward 2 of the 5 years.
Expert user of Python or R for data analysis tasks (data cleaning, manipulation, analysis).
Expert knowledge of time series forecasting methods, e.g., ARIMA, Prophet, LSTM.
Proficiency with SQL for data analysis tasks.
Proficient in training and evaluating the performance of machine learning models using industry-standard libraries like PyTorch, scikit-learn, tidymodels, and XGBoost.
Proven track record of developing and implementing machine learning pipelines running in production environments like AWS SageMaker, Databricks, or Snowflake.
Demonstrated application of software development methodology and protocols, including version control and testing.
Excellent communication skills in writing and conversation, especially with non-technical partners.
Experience driving self-directed projects and working cross-functionally.
Experience mentoring other data scientists or leading technical discussions.
Preferred Qualifications:
Experience working with Snowflake.
Experience with container technologies, e.g., Docker and Kubernetes.
Background in education or in edtech.
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].
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.
Skills Required
- 5+ years of experience in a data science role, including 3+ years focused on sales forecasting, demand forecasting, or revenue analytics
- Graduate degree in a science or quantitative field such as Computer Science, Economics, Mathematics, Physics, or Statistics may count toward two years of experience
- Expert proficiency with Python or R for data analysis, cleaning, manipulation, and analysis
- Expert knowledge of time series forecasting methods such as ARIMA, Prophet, or LSTM
- Proficiency with SQL for data analysis
- Proficiency training and evaluating machine learning models using PyTorch, scikit-learn, tidymodels, or XGBoost
- Experience developing and implementing production machine learning pipelines using AWS SageMaker, Databricks, or Snowflake
- Experience with software development methodologies, version control, and testing
- Excellent written and verbal communication skills with non-technical partners
- Experience driving self-directed projects and working cross-functionally
- Experience mentoring data scientists or leading technical discussions
- Experience working with Snowflake
- Experience with container technologies such as Docker and Kubernetes
- Background in education or edtech
Amplify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Amplify and has not been reviewed or approved by Amplify.
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Healthcare Strength — Health coverage is described as broad and effective from the date of hire, with HSA contributions and mental-health and fertility benefits noted. Feedback suggests this breadth is especially valued by full-time salaried employees.
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Leave & Time Off Breadth — Unlimited PTO for salaried staff and a PTO bank for hourly employees are highlighted, alongside paid holidays and disability coverage. Feedback suggests time-off policies and flexibility contribute positively to work-life balance.
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Retirement Support — A 401(k) with employer match and Roth options is cited, along with an equity incentive plan for full-time staff. These features are positioned as meaningful components of the total rewards package.
Amplify Insights
What We Do
Our captivating 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 turn data into practical instructional support to help all students build a strong foundation in early reading and math. All of our programs provide teachers 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.
Why Work With Us
Amplify employees are a diverse and passionate group of innovators and optimists from the fields of education, technology, design, and media. If you want to support teachers and students, are interested in the lived reality of classrooms, and want to make schools great places to teach and exciting places to learn, then Amplify is the place for you!
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