Build and maintain forecasting models for consumption-based revenue and related cost of goods sold (i.e. cloud costs).
Partner closely with Finance and other stakeholders to understand business mechanics, modeling assumptions, and planning objectives, and translate these into robust analytical frameworks.
Analyze complex customer and usage data, including sparse, early-stage, and rapidly scaling cohorts - to identify durable signals around retention, expansion, and monetization.
Deliver high-quality analytical outputs, including ML models, exploratory analyses, dashboards, visualizations, and data-driven recommendations.
Monitor and evaluate model performance over time, detecting drift and developing challenger models to ensure accuracy and resilience.
Conduct causal and attribution analyses to understand the drivers of revenue growth, expansion, and cost efficiency.
Communicate insights effectively to technical and non-technical audiences through clear visualizations, narratives, and presentations - including support for executive and investor discussions.

Requirements

Strong foundation in statistics, experimental design, and quantitative reasoning.
3+ Experience working with revenue, pricing, usage-based, or subscription data, ideally in a SaaS or infrastructure context.
Hands-on experience with a range of supervised and unsupervised ML techniques.
A results-oriented mindset with a focus on driving measurable business outcomes.
Ability to prototype quickly in notebooks (Jupyter, Marimo, Colab) and deploy models in production environments.
Experience with at least one major cloud provider (AWS, GCP, or Azure).
Proficiency in Python and SQL; familiarity with additional languages is a plus.
Experience working with modern data processing and query engines (e.g. Presto/Trino, Athena, BigQuery).
Familiarity with both object-store and relational database technologies (e.g., S3, Redshift, Postgres).
Comfort operating in environments with imperfect data definitions, evolving metrics, and trade-offs between precision and decision usefulness.
Demonstrated ability to learn new tools, frameworks, and technologies quickly.
Curiosity and enthusiasm for experimentation, iteration, and continuous learning.
Clear communicator who can explain complex modeling decisions and insights in plain language, tailoring the level of technical detail to the audience.

Benefits

Unlimited PTO, 12 Holidays + 2 Floating Holidays
100% Premiums Coverage for Medical, Dental, and Vision
AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)
Empower 401K Plan
Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statisticsexperimental designquantitative reasoningmachine learningPythonSQLdata processingdata analysisforecasting modelscausal analysis

Soft Skills

results-oriented mindsetcommunicationcuriosityenthusiasm for experimentationability to learn quicklyanalytical thinkingcollaborationpresentation skillsadaptabilityproblem-solving