Senior Data Scientist

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.