Finance Forecasting Data Scientist — Hybrid + Equity

ClickHouse; San Francisco (CA); Hybrid; USD 215,000 - 267,000; Full time

Benefits offered by this job

Flexible work environment

Healthcare contributions

Equity in the company

Flexible time off

$500 Home office setup

Global Gatherings

Job summary

A leading cloud analytics company is hiring a founding Data Scientist to develop finance forecasting and measurement capabilities. This role involves building models, systems, and frameworks that inform leadership decisions. Ideal candidates will have an advanced degree in a quantitative discipline and proficiency in Python and SQL. The position is hybrid, requiring some time in the office in the San Francisco Bay Area. Competitive salary range between $215,000 and $267,000 based on location.

Qualifications

• Has hands-on experience building and deploying ML and statistical systems.
• Is comfortable defining the problem in ambiguous environments.
• Communicates clearly with executive stakeholders.

Responsibilities

• Own production revenue forecasting end-to-end.
• Build forecasting systems for usage-based pricing.
• Design and implement causal measurement frameworks.

Skills

Machine Learning

Statistical Analysis

Python

SQL

Time-Series Methods

Causal Inference

Education

Advanced degree in a quantitative discipline

Tools

ClickHouse

Snowflake

BigQuery

Spark

Job description

A leading cloud analytics company is hiring a founding Data Scientist to develop finance forecasting and measurement capabilities. This role involves building models, systems, and frameworks that inform leadership decisions. Ideal candidates will have an advanced degree in a quantitative discipline and proficiency in Python and SQL. The position is hybrid, requiring some time in the office in the San Francisco Bay Area. Competitive salary range between $215,000 and $267,000 based on location.