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Data Scientist - Content / Marketing

385/1361/92748

£0 - £0 Per Annum

London, United Kingdom

Business Operations,Gaming/Betting,IT/Technical,Data scientist

Permanent | Full Time

ASAP

28/10/2019

Not specified

Data Scientist

·       Are you passionate about using data to add value ?

·       Do you have a track record of reviewing and improving algorithms ?

·       Can you communicate complex ideas simply and succinctly ?

 If so, we’d love to talk to you.

What you’ll be doing

In this role, you will work alongside the founding team, taking responsibility for:

1) Reviewing and improving existing algorithms
2) End to end algorithm development from initial concept through to production readiness
3) Creating meaningful data visualizations for internal and external purposes, which help to communicate complex ideas in simple ways
4) Designing and building scalable algorithms which deliver company goals
5) Specifying the underlying infrastructure we are building to support the day to day operations of our business
6) Enable models to be easily productionised


WHO WE’RE LOOKING FOR

  • You’re a self-starter who is passionate about finding and exploiting opportunities where data science can impact our business objectives.
  • You love digging into data and uncovering actionable insights.
  • You’re passionate about using data to help teams become more productive.
  • You have intellectual curiosity.
  • You are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.

KEY SKILLS

  • 4+ years of commercial experience with excellent knowledge of:
  • Python / R / Java
  • SQL
  • Machine Learning (supervised / unsupervised)
  • Strong data visualisation skills
  • Degree in computer science, mathematics, statistics, physics, machine learning, engineering or equivalent



PREFERRED SKILLS

  • Apache Spark
  • Apache Hadoop + ecosystem
  • Experience with cloud infrastructure (GCP, AWS, Azure) would be considered beneficial.
  • Masters Degree / PhD in computer science, mathematics, statistics, physics, machine learning, engineering or equivalent