WE MAKE MAGIC HAPPEN

What’s your superpower?

DATA SCIENTIST

experience
employment
Type of work
Location
midsenior
B2BWork Agreement
OfficeRemote
Warsaw
You will be a part of a Data Science team responsible for the delivery of various data science projects for our business customers. In majority, projects are customer- and marketing- oriented, e.g. customer segmentation, propensity-to-buy modelling, anti-churn modelling, fraud detection, etc. Moreover, you will take part in the development of TUATARA solutions - products using data science to solve real business problems.

The role

  • Developing analytical models, e.g. customer segmentation, propensity-to-buy scoring, anti-churn prediction, fraud detection, social networks,

  • Designing real-time prediction models,

  • Doing data science for such industries as Telecommunications, Insurance, Banking, Public Sector and others.

The requirements

  • Higher education (IT, technical, mathematics, statistics or related),

  • Proven experience in working with data analysis,

  • At least 4 years of experience in data science

  • Experience in creating machine learning models in Python/Spark,

  • Experience in Big Data Hadoop,

  • Knowledge of machine learning algorithms and its practical applications,

  • The ability to create visualizations that present analysis' results simply and intuitively,

  • Experience with fraud detection models and/or digital data analysis (mobile apps data, portal data, website logs) would be an asset,

  • Experience with cloud computing would be an asset,

  • Experience in handling one of the control systems (GIT),

  • Familiarity with Linux (Vim, less, grep, find, etc.),

  • Command of English language at a level that allows free, direct communication and technical documentation analysis,

  • Native or fluent Polish is a must,

  • Very high teamwork and commitment skills.

The benefits

  • Independence,
  • Growth,
  • Innovative technology,
  • Team work,
  • Ambitious projects,
  • Flexible working hours,
  • Modern office,
  • Private healthcare package,
  • Life insurance,
  • Informal way of work.