Senior Data Scientist

Locations - Austin, Texas, must be willing to relocate to the area.
About the team
The Business Intelligence team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Machine Learning teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare's critical business needs, provide reporting and analytics via self-service tools to fuel existing and new business critical initiatives.

• • Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment.
  • Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality.
  • Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
  • Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
  • 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.

  
  Examples of desirable skills, knowledge and experience
  

  • M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
  • 3+ 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 (eg: customer and revenue growth)
  • 2+ years 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 (or any other Big data/Cloud equivalent) 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 in order to address business needs and drive revenue.
  • Proficiency in large language models and the frameworks (Langchain, Llamaindex, CrewAI, etc.) necessary for implementing GenAI applications, such as chatbots and related use cases.
  • Strong communication and presentation skills catered to different audiences within the company.
  • Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
  • Experience in hiring data scientists and establishing team best practices is preferred.