# Senior Data Scientist

**Company**: Cloudflare
**Location**: Austin, TX
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/cloudflare/jobs/7655695?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7fbf94db-262

## Description

At Cloudflare, we're on a mission to help build a better Internet.

The Data Intelligence & Analytics organisation builds the core data platform and internal products that power decision-making across the company.

As a Senior Data Scientist, you will focus on building scalable, reliable AI/ML models, services, and GenAI-powered application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products.

Responsibilities:

- Partner with business leaders, stakeholders, product managers, and internal teams to understand business and product challenges and goals, and address them using predictive analytics in a globally distributed environment.

- Understand the data landscape, including tooling, tech stack, and source systems, and work closely with the data engineering team to improve data collection and quality.

- Define, implement, and train statistical, machine learning, deep learning, and generative AI models.

- Use software engineering best practices to publish model scores/insights/learnings at scale within the company.

- Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.

- Active role in hiring, growing, and mentoring the data scientist team in Austin.

Requirements:

- M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.

- 5+ years of data scientist experience with proven industry experience in a large-scale environment (PBs scale & globally distributed teams).

- Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes.

- 2+ years of experience with a fast-growing SaaS business-based company is preferred.

- Strong experience in scientific computing using Python.

- Experience with Spark, SQL, Tableau, Google Analytics, BigQuery, etc.

- Experience working with and processing structured, unstructured, and semi-structured data.

- Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.

- Proven track record of applying data insights and machine learning to address business needs and drive revenue.

- Proficiency in large language models and the frameworks necessary for implementing GenAI applications.

- Strong communication and presentation skills catered to different audiences within the company.

Benefits:

- Opportunities for professional growth and development

- Collaborative and dynamic work environment

- Flexible work arrangements

We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools.

## Skills

### Required
- Python
- Spark
- SQL
- Tableau
- Google Analytics
- BigQuery
- Machine Learning
- Deep Learning
- Generative AI
- Data Engineering
- Data Analysis

### Nice to have
- Experience with a fast-growing SaaS business-based company
- Proficiency in large language models and the frameworks necessary for implementing GenAI applications
- Experience in hiring data scientists and establishing team best practices

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/cloudflare/jobs/7655695?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)