# Staff Data Scientist

**Company**: Twilio
**Location**: Remote - US
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $155,520 - $228,700
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/twilio/jobs/7821458?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_25c0c6ae-535

## Description

## Job Summary

Join Twilio as a Staff Data Scientist, working remotely in the US. You'll drive growth across the full funnel, focusing on revolutionizing cross-sell and upsell initiatives. This role involves designing the brain behind Twilio's revenue engine, bridging complex data science and actionable business outcomes.

## Responsibilities

- Translate business objectives into a data science roadmap prioritizing high-LTV growth

- Analyze the self-service funnel to uncover optimization opportunities and provide actionable recommendations

- Identify leading indicators of revenue and build data science models to surface high potential opportunities

- Serve as a key technical advisor to GTM leadership across Sales and Marketing

- Build extensive knowledge of user behavior, customer purchase and usage experience, and lead funnel to inform data science solutions

- Develop sophisticated recommendation engines to identify 'next-best-action' opportunities

- Build robust frameworks to measure the incremental impact of data products

- Leverage machine learning and generative AI capabilities to support PLG initiatives

- Partner with Data Engineering to define the long-term roadmap for GTM data architecture

- Oversee the seamless integration of data products into stakeholders' daily workflows

- Create documentation, dashboards, reports, and executive summaries for data products

- Partner with Sales, Marketing, Enterprise Technology, Product, and Ops teams to bring relevant data science products to life

## Qualifications

### Required:

- 7+ years in Data Science/ML with a proven track record in a GTM or Growth environment

- 5+ years of experience with Applied Statistics/Machine Learning or experimentation

- Expert-level proficiency in Python/R, SQL, and modern ML frameworks

- Experience deploying models into production environments and building scalable data pipelines

- Experience initiating and driving projects leveraging Generative AI capabilities

- Strong understanding of GTM metrics: CAC, LTV, ARR, ARPU, Pipeline Velocity, Lead-to-Close ratios, etc.

- Ability to explain complex concepts to both technical and non-technical stakeholders

### Desired:

- A degree in a quantitative field

- Master's preferred but not required

- 5+ years of experience doing quantitative analysis at a technology company, consulting firm, investment bank, or product management firm

## Location

- Remote - US

- Not eligible to be hired in CA, CT, NJ, NY, PA, WA, San Francisco, CA, Oakland, CA, San Jose, CA, or surrounding areas

## Travel

- Approximately 5% travel anticipated for in-person meetings

## What We Offer

- Competitive pay

- Generous time off

- Ample parental and wellness leave

- Healthcare

- Retirement savings program

- Much more

## Compensation

- Estimated pay ranges:

- Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, Washington D.C.: $155,520 - $194,400

- New York, New Jersey, Washington State, California (outside of San Francisco Bay area): $164,640 - $205,800

- San Francisco Bay area, California: $182,960 - $228,700

- May be eligible to participate in Twilio's equity plan and corporate bonus plan

- Generally eligible for health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave

## Skills

### Required
- Python
- R
- SQL
- Machine Learning
- Applied Statistics
- Generative AI
- Data Science
- Growth Metrics Analysis

### Nice to have
- Masters degree in a quantitative field
- Experience in a technology company

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/twilio/jobs/7821458?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)