Data Scientist, Consumption Analytics, Forecasting
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Job Description
Data Scientist extracting insights from data to support forecasting and strategic planning at Temporal Technologies. Collaborating with Finance and Data leaders to build analytical solutions.
Responsibilities:
- 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!
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