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Senior Data Scientist
3 years ago
Voodoo is a tech company that creates mobile games and apps. With 6 billion downloads and over 300 million monthly active users, Voodoo is the #2 mobile publisher worldwide in terms of downloads after Google.
The company is one of the most impressive examples of hypergrowth in the ecosystem, having raised over $1B and backed by Goldman Sachs, Tencent, and GBL. Deciding to expand its portfolio of products further, Voodoo has more recently announced that it will invest $200M in blockchain gaming studios, to lead the transformation of mobile gaming.
Voodoo is now a team of over 700 employees worldwide, we’re looking for talented individuals from across the globe to come and entertain the world with us.
Team
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo’s long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems.
Role
You will be joining a cross-functional tech team that leverages massive amounts of data in order to create business value. The team is composed of top-tier data scientists and back-end developers and is looking for a passionate team player. To succeed in this role, you will need to have a passion for machine learning and its real-world applications. This is a strategic position, with the opportunity to have a tremendous impact on Voodoo’s success.
- Identify and solve complex problems with data-driven solutions
- Explain your work and share results with stakeholders
- Share recent advances in machine learning with your colleagues
Profile
- 3/4 years of experience building machine learning systems to solve business problems
- Good understanding of deep learning concepts and experience with one deep learning framework (Tensorflow, Pytorch,etc.)
- Not afraid of challenges
- Passion for the field, eagerness to learn
- You enjoy working in a team, learning new things, sharing knowledge
- Basic software engineering skills
- Strong achievements on Kaggle will be valued
Benefits: competitive salary, lunch vouchers, healthcare, child day care, wellness activities, unlimited vacation policy, remote days.
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