Data Scientist
Cloudflare
Lisbon, Portugal
há 4 dias
source : Landing.jobs

At Cloudflare (Permanent), in Lisbon, Portugal

Expires at : 2020-12-09

At Cloudflare, we have our eyes set on an ambitious goal : to help build a better Internet. Today the company runs one of the world’s largest networks that powers trillions of requests per month.

Cloudflare protects and accelerates 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 recognized by the World Economic Forum as a Technology Pioneer and named to Entrepreneur Magazine’s Top Company Cultures list.

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that.

We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!

About the department

Cloudflare is looking to grow our Business Intelligence team responsible for enabling various product and business teams such as Marketing, Sales, Finance, Customer Support, Infrastructure and Product Development teams with data and analytics.

Our team currently has Data Engineers, Data Analysts, and Data Scientists and we are looking to add a data scientist in Lisbon, Portugal to scale our data platform.

This will be a founding member of the data team in our Lisbon office.

What you'll do

  • Use data to tell meaningful stories about our business to drive customer satisfaction, adoption and growth
  • Understand business / product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals
  • Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends
  • Define, implement, and train statistical, machine learning, and deep learning models
  • Main requirements

  • M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields
  • Understand data landscape, i.e tooling, tech stack, source systems and work closely with the data engineers to improve the data collection and quality
  • 2+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale, globally distributed teams)
  • Strong experience in scientific computing using Python, Scala, or equivalent
  • Experience with Spark, SQL, Tableau, Google Analytics, Hive and BigQuery (or any other Big data / Cloud equivalent)
  • Experience in defining, implementing, and training statistical, machine learning, and deep learning models
  • Experience in using software engineering best practices to publish model scores / insights / learnings at scale within the company
  • Proven ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends
  • Experience working with and processing structured, unstructured, and semi-structured data
  • 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
  • Strong data analytical skills, taking initiative in deriving data insights and thread intelligence, and proposing models and solutions that can lead to quick and effective proof-of-concept (POC)
  • Strong audience-focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner
  • Benefits & Perks

  • Private Medical and Dental Insurance
  • Monthly Travel Allowance
  • Flexible Holiday Allowance
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