포지션

(Senior) Data Scientist - User Acquisition

Berlin

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

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 hyper-growth and highly-shapable stage from the ground up.

Job responsibilities

Team Collaboration for User Growth: Partner with product managers, engineers and the operations representatitves to transform business requirements into data-driven strategies. Focus on user growth and engagement.
Bidding Algorithm for User Acquisition: Design and refine bidding algorithms for user acquisition. Grasp the intricacies of real-time bidding to secure high-quality users and ensure a positive return on investment.
Data Analysis: Analyze data to derive insights and guide strategic decisions. Promote a culture where data is at the heart of decision-making.
Machine Learning Development: Research advanced algorithms, design machine learning models, and conduct experiments.
Operational and Product Initiatives: Stay informed about the advertising industry’s trends and use data analysis to challenge existing practices and pinpoint areas for enhancement.

Job requirements

Experience: Minimum 3 years as a data scientist or machine learning engineer, and must have experience in either User Acquisition, Conversion/Purchase Prediction, or Recommendation System.
Technical Skills: Hands-on experience with Python and SQL-like queries. Proficient in Machine Learning libraries (e.g. Tensorflow), bonus if familiar with Go.
Bidding Algorithm Knowledge: Familiarity with the development and optimization of bidding algorithms, particularly for user acquisition.
Experimentation: Comprehensive experience in designing, executing, and analyzing online experiments.
Machine Learning: Strong foundation in machine learning with experience in advanced modeling beyond standard classification and regression.
Analytical Mindset: Exceptional analytical skills with a deep understanding of the AdTech industry. Proven capability to drive change through data insights.
Data Advocacy: Experience in promoting a data-driven culture and facilitating collaborations across departments.
Critical Thinking: Ability to use data analysis to challenge existing norms and identify potential improvements in the advertising domain.
Continuous Learning: Stay abreast of the latest in AdTech and machine learning. Engage in professional development activities such as attending workshops and conferences.

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

Remerge is an Equal Opportunity Employer: all qualified applicants are considered for positions regardless of race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, veteran status or disability. We're looking forward to your application!