“If we win more rounds than we lose, we win the game” - n0thing
About Bayes
The world of esports is experiencing explosive growth and with that growth comes a wealth of opportunities. In a billion-dollar industry, where data is king, we at Bayes Esports have claimed our place as the newest leader in the market.
With our cutting-edge technology-driven products, we solve real issues that esport organizers, teams and media companies are facing everyday backed up by our very own machine learning algorithms. Partnerships with some of the biggest names in the esports and betting industries put Bayes Esports in a unique position that allows the team to make a real impact in this vibrant and exciting space.
We are passionate gamers at heart—a small, agile team of esports veterans building a truly innovative next-generation data distribution platform. Join us in the heart of Berlin, where startup culture meets metropolitan lifestyle, and work with top talents from all over the world.
About your future team
The Betting Team at Bayes is hard at work on something big and we need all of the passion and brain power we can get. Whether you’re the type that’s got your ear to the ground of the Esports scene, a seasoned sports bettor or simply industry-curious— as long as you’ve got drive and a desire to grow alongside us— there’s a place for you in the group. We’re a tight-knit, enthusiastic and inquisitive bunch working together to build comprehensive betting solutions for a variety of clients. What’ll the next big thing in Esports betting be? Us and whatever we do.
As the name suggests, we see ourselves primarily as a data-driven company and data scientists have a lot of impact in our day to day business. Our data science team constantly faces new interesting real-world problems and is encouraged to try out new methods and algorithms in order to find the best solution. We are currently looking for a skilled data scientist to join the team.
Responsibilities:
- Data acquisition and preprocessing from various sources (API’s, home-brewn parsers, web-scraping)
- Data analysis as preparation for modeling
- Building predictive models using Jupyter notebooks
- Deploying those models ready for production in python
Requirements:
- 2+ years of experience working in data science (and enjoying it!)
- You love clean data and will put in the time cleaning it
- You ask “What kind of questions can I ask?” instead of just looking for answers
- You have experience with established statistics and machine learning models (we mainly use sklearn and tensorflow)
- You have either a strong scientific background or very good python skills (or ideally both)
- You are a stickler details and data quality
- You can use Github
- You are not afraid of learning new things by yourself
- You take ownership of your projects
- You are good at explaining your results to others
- Strong knowledge of gaming and/or esports (Especially League, CS:GO, & Dota)
Bonus:
- Experience with SQL and NoSQL databases
- Experience with Docker
- Experience with backend or frontend development
- Knowledge of betting and the betting industry
- Demonstrable experience analyzing or experimenting with competitive game data for fun
What we have to offer:
- Internal training sessions self-organized by your colleagues
- People development
- A budget for external training
- Flextime and sensible working hours
- Gaming rooms to play and crush your enemies with your colleagues
- Company bar with free drinks
- Free coffee and water to stay focused and hydrated
- Free fruit for a healthy snack, as well as free cereals and yoghurt
- Free massages once a month (if you want), foot massage equipment and a massage chair
- Company subsidized Public Transportation ticket
- Opportunity to go to Esports events
We look forward to receiving your application (cover letter, CV, and references including code samples/projects) as well as your salary requirements and earliest possible starting date.
