General requirements
Description
INTRODUCTION
Competition Company is an ambitious young studio, driven by the passion of the youth and enabled by gaming, esports and racing veterans. With our main offices situated in Munich (Germany), and Malmö (Sweden), we are proud of having a distributed team across various countries and cities.
We are in the race of our lives with a precise motivation: offer players, digital racers and car enthusiasts the ultimate playground for them to enjoy, share, create and even monetize their passion for cars and digital racing.
The product
RENNSPORT is the playground for car enthusiasts. A live-service racing simulation in its alpha stage of development with thousands of eager players already on the waiting list for release, as well as a top tier live competition dubbed “ESL R1”.
RENNSPORT (the game) and ESL R1 are the tip of the iceberg in our vision to completely transform how players and fans engage with racing games, where the community of players, modders, and pro drivers are front and centre of everything we do.
RESPONSIBILITIES
Are you curious about the whos, whats and whys in gaming? Do you want to help bring data science into business decision-making? Then you may be our next Data Scientist!
As a Data Scientist, you will help us make sense of our raw game and business data. Together, we want to improve our games and influence business decisions by making the most out of our data. For this role, you must understand and communicate key insights and questions clearly to colleagues outside the team. We believe that a successful candidate has a few years of experience, preferably in the industry, and a background in computer science, physics, mathematics or a similar field.
In this role, you will be responsible for:
- Formulate techniques for quality data collection to ensure the adequacy, accuracy, and legitimacy of data
- Engage with business stakeholders to design and take charge of end-to-end solutions to empower data-driven decision-making
- Conceive, plan and prioritize data projects
- Visualize data and create reports
- Deploying and maintaining working machine learning models in production environments
- Experiment with new models and techniques and align data projects with organizational goals
- Championing Data Science within the studio
- External data team communication and collaboration
YOUR PROFILE
Hands-on experience with developing custom data models and algorithms to address business challenges using SQL, Python, or R.
Proficient user of distributed analytics/data engines such as Hive/Spark.
Proven work experience with ETL design, development, and automation (e.g., using Airflow).
Strong analytic skills and data domain curiosity.
Top-notch communication skills. Ability to clearly formulate and articulate the problem at hand in a simple, actionable way (especially to stakeholders that are non-scientists).
Self-motivated and proactive with critical thinking and the resourcefulness to drive projects to success.
The ability to work independently as well as in a collaborative environment.
WHAT YOU CAN EXPECT FROM US
Full-time role in Malmö, Sweden OR Munich, Germany OR Remote (Sweden/Germany ONLY)
The opportunity to be part of the early team that wants to change digital racing
Have clear and direct impact on our product and players experiences
An attractive, market-standard, salary package
ABOUT US
Competition Company is an ambitious young studio, driven by the passion of the youth and enabled by gaming, esports and racing veterans. With our main offices situated in Munich (Germany), and Malmö (Sweden), we are proud of having a distributed team across various countries and cities.
We are in the race of our lives with a precise motivation: offer players, digital racers and car enthusiasts the ultimate playground for them to enjoy, share, create and even monetize their passion for cars and digital racing.
At Competition Company we value:
- Responsibility and self-development – those who take ownership of their tasks and goals and always strive to be and make the team better every single day;
- Integrity and transparency – those who are known for candour and transparency, that own mistakes and share learnings, but also speak up when there are challenges;
- Curiosity and open-mindedness – those who love to learn and explore new news, that see patterns and connections that most people miss, that care about what our players struggle with and that enjoy to think and operate outside the box;
- Work hard, have fun – those who understand that deadlines will always have a place in their work routine, but that do not forget to have fun, be healthy, and enjoy their private life.
