Scoutium is a technology company that provides a unique motivation for all players, clubs and federations around the world. Scoutium has ten thousands of analyses of football players from Germany, Poland and Turkey in its database. With tens of partner clubs, Scoutium is able to access hundreds of cities, towns, and villages in the countries with more than hundreds video experts and scouts. We aim to democratise football by opening up young players’ horizons and giving opportunities to players to be discovered.

With Scoutium, licensed football players can improve themselves with exclusively created overview videos, analyses from professional scouts, and special training programs, and can be discovered by clubs with regards to these videos & analyses. Football fans can earn money by recording 90-minute videos or making player analyses and have the chance to pursue a professional scouting career. Thanks to our technology, clubs can access to our database formed by match recordings and scouting analyses.

Until today, Scoutium has raised 2.5M$. With projects in Machine Learning and Data Science, Scoutium has become an ITU Teknokent company in 2018.

With the mission of enabling all players around the world to be discovered, Scoutium’s goal is to change the game forever. For more, please visit scoutium.com or download our app from Google Play & App Store.

Scoutium is looking for talented professionals to join the team. Please submit your resume and let us know how you can contribute to our vision!

About the Data Scientist position

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Data Scientist responsibilities are:

  • Explore and detect valuable data sources and automate collection processes
  • Perform preparation, preprocessing of structured and unstructured data
  • Review large amounts of information to discover trends and patterns aiming at feature extraction
  • Create ground truths and benchmarks for subjective decision processes
  • Create production-ready predictive models and machine-learning algorithms
  • Modify and combine different models through ensemble modeling
  • Organize and present information using data visualization techniques
  • Develop and suggest solutions and strategies to business challenges
  • Cooperate with engineering and product development teams for data driven product features

Data Scientist requirements are:

  • BSc degree in Computer Science, Statistics, Engineering or other relevant fields from a top university; graduate degree in Data Science or other quantitative field is a plus
  • 2+ years of experience on working as Data Scientist
  • Significant experience in statistics, data mining, machine-learning and business analysis prior to modelling with real world datasets
  • Excellent knowledge of SQL and Python (OOP knowledge is a plus)
  • Good knowledge of libraries like Pandas, NumPy, scikit-learn, TensorFlow
  • Familiarity with data related AWS services
  • Experience using business intelligence tools (preferably Tableau) and data frameworks
  • Strong math and analytical skills, with business acumen
  • Strong communication and presentation skills
  • Excellent problem-solving abilities
  • Fluent in English

What We Offer

  • Private health insurance,
  • Personal education budget,
  • Being part of a flat organization.
  • Having fun with activities prepared with different concepts
  • Working in a globalizing startup & technology company.
  • Support for the Internet bill
  • Hybrid working model