Location: Remote – United States Company Stage: Established EdTech / Growth-Stage Education Technology Office Type: Remote Salary: $110K – $150K Base + Bonus
Company Description
This education technology company is building next-generation curriculum, assessment, and learning platforms used by millions of students and educators across the United States. Their products combine learning science, analytics, and technology to help teachers personalize instruction and improve student outcomes at scale. The company operates across literacy, math, and science education while investing heavily in data infrastructure and predictive analytics capabilities.
What You Will Do
Build and improve sales forecasting models across multiple product lines and geographic regions
Develop statistical and machine learning solutions for short-term and long-term revenue forecasting
Own the full machine learning lifecycle including feature engineering, training, deployment, monitoring, and explainability
Create self-service forecasting tools that enable real-time decision-making across business teams
Translate model outputs into actionable business recommendations and strategic insights
Partner cross-functionally with analytics engineers, analysts, and business stakeholders
Mentor junior data scientists and contribute to technical standards, reviews, and team best practices
Influence forecasting strategy and drive data-informed planning across the organization
Ideal Background
5+ years of experience in data science, machine learning, or quantitative analytics
Strong background in sales forecasting, revenue analytics, or time-series modeling
Expertise with forecasting methodologies such as ARIMA, Prophet, LSTM, or related approaches
Advanced proficiency in Python or R for data analysis and machine learning workflows
Strong SQL expertise for analytical and modeling use cases
Experience training and evaluating machine learning models using frameworks such as PyTorch, scikit-learn, xGBoost, or equivalent
Proven experience deploying machine learning systems into production environments such as AWS SageMaker, Databricks, or Snowflake
Strong understanding of software engineering best practices including version control and testing
Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders
Comfortable operating independently in highly cross-functional environments
Preferred
Experience with Snowflake
Familiarity with Docker and Kubernetes
Experience within education technology or education-focused organizations
Prior experience building forecasting systems at scale across multiple business units or markets
Compensation and Benefits
Base salary: $110K – $150K
Annual discretionary bonus eligibility
Comprehensive medical, dental, and vision coverage
401(k) retirement plan
Mental health and wellness benefits
Paid time off and parental leave
Professional development and learning programs
Fully remote work environment within the United States