Senior Data Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 20h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 8d ago
The date the source published, not the day we noticed it (2026-09-23). Last seen at its source just now.
We have tracked this listing since 23 Sep 2026 (8 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Remote - United States
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $112.3k–170.3k/yr
Middle 50% of 271 listings that do state pay — Operations · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 8d ago · last seen just now
The listing
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 hiringaccommodations@amplify.com.
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.