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.
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- 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.
What We Do
Cloudflare, Inc. is on a mission to help build a better Internet. Cloudflare’s suite of products protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare have all web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was awarded by Reuters Events for Global Responsible Business in 2020, named to Fast Company's Most Innovative Companies in 2021, and ranked among Newsweek's Top 100 Most Loved Workplaces in 2022.
Why Work With Us
Cloudflare employees come from all walks of life. Our team is energized by a collaborative, creative environment that celebrates our differences and fosters new ways to grow together.
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Employees engage in a combination of remote and on-site work.
We are committed to developing a global team that is distributed with a flexible working approach. Doing this equitably and inclusively is essential to our success. Visit our careers site for more on 'How & Where We Work.'