Data Scientist supporting management consultants conduct data analysis and providing strategic decision - making insights. Involves data processing, model development, and collaborative problem - solving with clients.
About the role
- Lead Data Scientist responsible for scalable AI/ML models and application backends at Cloudflare. Collaborate with teams to deliver features and operate data platforms in a hybrid environment.
Responsibilities
- 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.
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 (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.
- 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, Langgraph, etc.) necessary for implementing GenAI applications, such as AI Agents, chatbots and related use cases.
- Experience in hiring data scientists and establishing team best practices is preferred.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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