# Senior Data Scientist

**Company:** [Dropbox](https://hotfix.jobs/companies/dropbox)
**Location:** Remote
**Role:** Data Science
**Salary:** $154k – $261k/yr
**Experience:** 8+ years
**Skills:** SQL, Python, R, Statistical Analysis, experimentation design, regression, decision trees, propensity modeling, customer segmentation, Product Analytics, multivariate testing, Data Visualization, executive dashboards, Business Intelligence, SaaS
**Posted:** 2026-08-03

> Senior Data Scientist partnering with product, engineering, design, and business stakeholders to analyze user behavior, develop segmentation and propensity models, and guide product experimentation. Requires 8+ years of analytics experience, strong SQL and statistical expertise, and excellent communication and influence skills.

## Job Description

## Responsibilities
- Perform analytical deep-dives to analyze problems and opportunities, identify hypotheses, and design and execute experiments.
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes.
- Identify key trends and build automated reporting and executive-facing dashboards to track acquisition, monetization, and engagement trends.
- Identify opportunities, advocate for new solutions, and build cross-functional momentum around data-grounded ideas.
- Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue, and promote best practices for multivariate experimentation.
- Translate complex concepts into business implications through excellent verbal and written communication.
- Work with cross-functional teams including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives to rapidly execute and iterate.

## Requirements
- Bachelor's degree or higher in a quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field.
- 8+ years of experience using analytics to drive key business decisions, including business, product, or marketing analytics; business intelligence; or strategy consulting.
- Ability to work independently and proactively engage business stakeholders with minimal direction.
- Significant experience with SQL.
- Deep understanding of statistical analysis, experimentation design, regression, decision trees, and common analytical techniques.
- Strong verbal and written communication skills.
- Strong leadership and influence skills.

## Preferred Qualifications
- Product analytics experience in a SaaS company.
- Master's degree or higher in a quantitative discipline such as Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or a related field.
- Programming or scripting proficiency and knowledge of statistical packages such as R or Python.

## Durable Skills
- **Awareness:** Understand yourself and others.
- **Judgment:** Evaluate information and make decisions in complex situations.
- **Adaptability:** Learn, adjust, and stay effective through change.
- **Connection:** Communicate, collaborate, and build trust.

## Compensation
- US Zone 1: $193,000–$261,000 USD
- US Zone 2: $173,700–$234,900 USD
- US Zone 3: $154,400–$208,800 USD

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