Data Scientist, Finance at Notion

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

SoftwareIndustries

Requirements

Candidates should have 2+ years of experience in analytics and data science, with a proven track record of collaborating with finance, business operations, growth, or go-to-market teams. Expertise in at least one scripting language, preferably Python or R, is required, along with experience in building and evaluating predictive models. Comfort in transforming raw data to create necessary datasets and a bias for efficient tool usage, balancing speed and accuracy, are also essential. Strong communication and collaboration skills for cross-functional environments are necessary.

Responsibilities

The Finance Data Scientist will partner with Strategic Finance to understand business drivers and accelerate Notion's growth. They will deliver proactive insights on key business drivers, financial trends, and areas for optimization. This role involves building and refining data science forecasts for both short-term and long-range planning, empowering others through self-service tools and reports, and collaborating with Data Engineering to build core data models for analysis.

Skills

Data Science

Analytics

Forecasting

Data Modeling

SQL

Communication

Problem-solving

Notion

Versatile productivity and collaboration platform

About Notion

Notion is a workspace platform designed to enhance productivity and collaboration for a wide range of users, from startups to large enterprises. It combines various tools into a single platform, allowing teams to write, plan, and share their work efficiently. Users can start with a free version and upgrade to paid plans as their needs grow. Key features include customizable notes and documents, project management tools, and a drag-and-drop interface for easy page creation. Notion also includes an AI-powered Q&A feature that provides instant answers to user queries, helping to centralize knowledge. The platform supports multiple languages and has a strong global community that contributes content and organizes events.

San Francisco, CaliforniaHeadquarters

2016Year Founded

$325.9MTotal Funding

LATE_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees