# Data Scientist, Growth

**Company**: Notion
**Location**: San Francisco, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $145,000 – $233,000 per year
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/notion/9fc52821-c394-4a80-85ba-5f1d7c36fb2b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b1bbabc9-038

## Description

We are looking for a Data Scientist to join our Growth team. As a Data Scientist at Notion, you will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making. You will explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap.

Responsibilities:

- Apply expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making.

- Explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap.

- Partner closely with product, engineering, and marketing leaders at every step of the development process, driving forward data science and analytics work.

- Work with your teams to determine north star and operational metrics, and build the foundational datasets and dashboards to monitor progress and make key decisions.

- Influence the broader company by communicating your findings and driving change in our product and business.

Requirements:

- Comfortable with ambiguity and motivated by business results.

- Expertise in SQL and at least one scripting language (ideally Python or R).

- Knowledge of statistical inference and experimentation to drive actionable recommendations.

- Comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet.

- Bias for using the right tools to get a job done with maximum efficiency and experience making tradeoffs between speed and accuracy.

Nice to Haves:

- Experience working at a fast-growing start-up.

- Experience at a B2B SaaS company.

- Track record of acting as a thought partner to product, engineering, and marketing leaders, driving strategic decisions on these teams using data.

- Experience building predictive models, and knowledge of how to evaluate their effectiveness.

Benefits:

- Competitive cash compensation

- Equity

- Benefits package

## Skills

### Required
- SQL
- Python
- R
- statistical inference
- experimentation

### Nice to have
- predictive models
- data transformation
- tradeoffs between speed and accuracy

---

Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/notion/9fc52821-c394-4a80-85ba-5f1d7c36fb2b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)