Data Scientist, Machine Learning

Vor 6 Tagen

Berlin, Deutschland Remerge Vollzeit

Remerge helps leading mobile app marketers increase revenue and retention by activating, re-engaging and retaining high-value users through programmatic in-app ads. Founded in 2014, Remerge has established itself as a leading app retargeting player globally, with offices spanning Berlin, New York, Singapore, Seoul and Tokyo. Our international team of experts has contributed to the growth of hundreds of apps across all major verticals, including gaming, on-demand delivery, e-commerce, and finance.

Job mission

As a part of our User Acquisition team, you will work on our Real-time Bidding solution with Machine Learning and data-driven insights at its core. Our team mission is to architect and pioneer a new bidding algorithm in a rapid-growth and highly-shapable stage from the ground up.

Job responsibilities
- Machine Learning Development: Research and develop state-of-the-art algorithms, construct and train machine learning models, and execute controlled experiments to evaluate their performance in live settings.
- Bidding Algorithm Optimization: Create and continuously enhance algorithms for real-time bidding and user acquisition. Understand and exploit the complexities of the bidding landscape to attract high-value users while maximizing ROI.
- Collaborative Innovation: Work closely with the product and engineering teams to integrate machine learning capabilities into our platform. Provide insights and guidance on improving algorithmic efficiency and scalability.
- Model Deployment and Monitor: Ensure the successful deployment of machine learning models into production. Monitor and maintain model performance, making adjustments as necessary to keep models effective and efficient.

Job requirements
- Minimum 2 years as a data scientist or machine learning engineer, and must have hands-on experience in machine learning model building.
- Hands-on experience in Machine Learning libraries, particularly TensorFlow.
- Proficiency in Python and SQL for data manipulation and querying.
- Experience with Go is a bonus.
- Machine Learning Expertise: Strong theoretical and practical foundation in machine learning, with hands-on experience in developing and deploying advanced models that go beyond traditional classification and regression tasks.

Our promise
- Unlimited vacation days - for real. We give you the freedom to figure out the most productive work-life balance for you
- Mentorship program for technical and non-technical skills
- A truly modern place to work: work from home, from our brand new office in Berlin, or remotely - your work environment is yours to design
- Generous remuneration package including virtual shares, a dedicated education budget
- End of the year bonus determined by company performance
- Travel to our offices around the globe for a short term assignment for up to a month every two years
- Comfortable work setup - laptop, phone, screen(s), standing desk etc.
- Support for your setup while working from home
- Wellness benefits such as sports memberships, Nilo Health subscription and internet reimbursements
- Company events including breakfast twice a week, team lunches, birthday and milestone celebrations, quarterly team events and company-wide parties & trips

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