What you'll do

• 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, and deep learning 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, R, or Scala.
• Experience with Spark, SQL, Tableau, Google Analytics, Hive and 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.
• 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.

Compensation

Compensation may be adjusted depending on work location. For Colorado-based hires: Estimated annual salary of $140,000 - $172,000.

[Commissions: If applicable include this line:] This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range in Colorado includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave