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Data Scientist – Mobile Games – London

Location: London, United Kingdom Salary: Negotiable

Job ID: #23041 Posted: 2 years ago

We are now looking for an exceptional Data Scientist/Analyst to own game and company analytics and grow this function.

Responsibilities

  • Understand the day-to-day issues that our business faces, which can be better understood with data
  • Build solutions for but not limited to customer segmentation and targeting, propensity modelling, churn modelling, lifetime value estimation, forecasting, recommendation systems, modelling response to incentives, and price optimization
  • Structure experiments and build mathematical models to identify game optimizations points which will help game developers improve player experience
  • Provide testing techniques and methodologies in order to assess the impact and effectiveness of business initiatives.
  • Ad-hoc analysis of game data and market behaviour of the mobile games industry
  • Develop clear visualizations to convey complicated data in a straightforward fashion

Essential Experience

  • Bachelor’s or Master’s degree in Statistics or Applied Mathematics or equivalent experience
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab.
  • High levels of emotional intelligence with the ability to build a strong rapport with a variety of stakeholder

Strong experience in one of these would be advantageous

  • An expert in SQL and RDBMS concepts, including experience in working with large data sets
  • Good scripting and programming skills using languages like Java, Scala, Python, R or Perl.

Desirable

  • Outwardly looking – ideally, you’d be involved in the wider data science community.
  • Experience of visually communicating results and working alongside designers
  • Experience working with data pipelines and modelling in a production environment

You’ll love it here if you

  • Enjoy working with great, kind, hardworking people in a pleasant, friendly atmosphere.
  • Get along with people, love to share, teach, learn and most importantly: get stuff done while aiming for perfection.
  • Want to think creatively and challenge conventions while creating a phenomenal, community-driven product that millions of people enjoy
  • Value ownership and the ability to contribute without any bureaucracy
  • Share our passion for games, ideally ours :).
  • Are open to team building and money-can’t-buy off-site events that make BRAVO COMPANY a truly unique place.

Become a part of something great and join a team which is growing and appreciates the people that make things happen.

As a freshly funded Series A company, we are able to provide growth opportunities in a bureaucracy-free environment to both talented and experienced individuals as well as competitive salaries and attractive equity components.

Tagged as: Data Analyst, Data Scientist

Tags: Data Analyst , Data Scientist Categories: Analytics , Commercial

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Ben Oughton

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