Data Scientist - Berlin, Deutschland - GameDuell GmbH
Beschreibung
GameDuell is one of the leading casual gaming companies in Germany,based in the heart of Berlin.
With over 130 million registered players worldwide and a broad portfolio of over 40 casual online skill games, we are constantly looking for ways to improve our product.
To fulfill our mission of bringing people together to have fun with games, we are looking for a (Senior) Data Scientist to further
develop our data platform, which serves as the foundation for analytics, to drive decision-making across the business.
Your tasks
-
Analysis of user behavior based on tracking data incl. data cleaning, data analytics, data clustering, churn analysis, and data visualization
- Develop tools for
user experience customization providing certain user segments, forecasts, etc. - Build and maintain
data pipelines and support model life cycle together with Data Engineers by using Cloud technologies (GCP) - Build simulations and support
algorithm and mathematical model development as well as machine learning - Work closely together with an
interdisciplinary team of experts in Big Data Engineering, Product Analytics, User Experience Research, Customer Relationship Management, Marketing, and Game Design
What we expect
- Degree in
mathematics, computer science, or comparable (ideally with a focus on
data science) - At least two years professional
work experience as Data Scientist in a similar environment - Sound knowledge of
statistics (e.g., A/B testing),
stochastics (e.g.
linear algebra:
- Solid experience with
behavioral analytics (e.g., conversion analyses) - Very good knowledge about
Python, Pandas, and Numpy - Mastering of
data queries using BigQuery / SQL: - Excellent communication skills, ability to explain technical content to non experts, and stakeholder management experience
Fluent English is mandatory, knowledge of German very welcome
Ideally, you also bring
- Interest in
machine learning: - Knowledge in
data wrangling and visualization: - Interest in underlying
psychological processes related to user behavior
What we offer
- Look forward to one of the
best working environments in Berlin: our wellsituated office in Mitte - Challenging tasks and interesting opportunities for your
professional as well as personal development: - Meet-ups, tech talks, networking events, BBQs on our roof-top terrace, newbie dinner, summer party, Halloween party, family-and-friends party, gaming sessions, sports activities, etc.
own event team:
- Our teachers offer both
German and English classes for various levels as well as Yoga classes - Developing the
best products and inspiring our customers by providing an extraordinary game experience - A great, friendly, and international team
is looking forward to meeting you: - We cover all kinds of drinks, breakfast, fruits and much more (lots of organic, fair trade, and vegan options)
Flexible working hours;
hybrid work model possible
- Our
visa&relocation team will support you in relocating from abroad if needed
Starting immediately, or within the next three months, fulltime (or part-time with min. 30 hrs./week)
We are an ecological and socially sustainable company and have our very own "Green Team" where you can
make an impact and actively implement ideas and initiatives to help protect our environment and for charity.
- We pay attention to environmental friendly and resourceefficient standards when purchasing our office and food supplies
- We match your charity donations
- Social responsibility begins with each of us. Our
corporate culture is characterized by mutual trust and respect. Our open and
international team welcomes and respects diversity
Contact us
If you are up for the challenge, then say "hello" to our recruiter Stefan
( jobs-ind[at] )
*GameDuell is proud to be an equal opportunity employer that does not discriminate in its hiring practices. Any terms referring to people are valid for all genders whether male, female, or diverse.
Job Types:
Full-time, Part-time
Part-time hours: 30-40 per week
Experience:
- data science: 2 years (preferred)
Work Location:
Hybrid remote in 10117 Berlin
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