Head of Big Data

Our client brings games and studios to their maximum potential. With their technology and solutions, they bring their partners to the level of performance their product deserves. They help them attract and retain valuable, engaged, and happy users, and scale games growth to unexpected heights.

They are defining a new way of running games performance, and are the provider of choice for many of the leading games studios. If you play games, you have most likely played their client's games.

They are also leading the world of gaming into one of their logical and exciting developments and helping games transition to a blockchain-centric world, where NFTs and crypto co-exist with proper, interesting, and engaging gaming experiences.

To continue their exponential growth they are bringing-in high performing and ambitious team players, whether an avid gamer or not (we’ll show you, there will be no way back): they are a B2B tech business above anything. They are enthusiastic and gung-ho about games but super- serious about their clients-partners success.

The Role:

Head of Big Data at our client oversees the team of data engineers, data analysts, and data scientists that develops and maintains data infrastructure, game analytics, and data science products with the goal to deliver specific data products or a package of data-based services internally and externally.

Your Responsibilities:

• ensures acquisition and retention of big data talent in the organization and efficient utilization of team members

• build the business’s data science and data analytics/engineering talent needs through role definition, recruitment, and development of a team of data scientists

• mentorship role for the team

• builds and maintain knowledge sharing process

• expert in driving knowledge from data science solutions, Using layman terms to explain complex models if needed

• manages different sized data-related subteams (e.g. data engineering) to achieve desired results and team specialization

• create data-related standards across the whole company

Benefits:

• Full day tasty and rich meals including breakfast, lunch, and afternoon snack at your disposition every working day - provided by our client for you for free

• OUR CLIENT DO CARE ABOUT YOUR WELLBEING - choose from a wide variety of weekly trainings from functional to pilates or yoga - for free, right at the offices

• Free gym and showers at the offices

• Table tennis and table football

• Bike house for those friendly to the environment

• Spacy terrace with a wonderful view to chill with colleagues

• With wonderful new offices located in SKY PARK in Bratislava’s old town you won’t have any trouble with transportation and many services are right on the spot

Education:

• M.Sc./Ph.D. in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science)

Experience:

• Proven track record of leading data science teams

• Previous experience in a data scientist or analyst role, involving probability and statistics, machine learning, feature engineering, experimental design, and optimization

• Experience with interpreting data and analytics results to provide actionable insights into user/product behavior and deriving conclusions from those insights

• Solid knowledge of (statistical) programming languages (such as R, Python, etc.)

• Advanced knowledge of SQL

Communication and interpersonal skills:

• Ability to lead by example and build well functioning teams

• Strong communication skills in order to clearly communicate important messages and information to the team to ensure proper execution of duties

• Ability to compile and translate data, numbers, and analyses into everyday business English, and present findings to a non-technical audience - English on advanced (C1 level) is a must

• Highly organized, result-oriented and self-driven

• Creative and strategic thinker with innovative and problem-solving approach

Culture

• Comfortable working in an international, fast-paced, and stimulating organization

• Welcome to changes

• Approachable personality

• Willingness to share know-how with others

• Ability to form lasting and meaningful bonds

Nice to have:

• Experience in a video game or entertainment industry specifically focused on virtual economics

• Passion for games