-10+ years of experience in engineering roles including 4+ years of people management experience, preferably in cross-functional and international teams
-Demonstrable experience in scaling both teams and product architecture to comply with global operations
-Hands-on as well as architectural experience with big-data/high availability products. You know not only how to build products, but also how to run and maintain them
-You are passionate with people management – you understand that building a world-class team is not only about getting the right people but also mentoring them and creating personal growth opportunities
-A related academic degree is not a must, but is definitely a big plus
-Thorough experience with containerized environments with Docker, CoreOS, Kubernetes is a big plus
-You have an extensive network both locally and internationally which you can leverage for attracting top talent
-You are fluent in business English and possess great verbal and written communication skills
-Take a leadership position in a high-growth company – build your team, drive quality, shape the culture and leave your mark
-Take on the challenge of fighting the good fight against cyber-criminals, shoulder to shoulder with the best industry experts, using the most advanced AI technology
-Fun, creative and focused teams committed to learning and problem-solving through collaboration
-Competitive remuneration (salary + shares)
-A brand-new office located in the vibrant heart of Berlin
Job description: As a data scientist you're positioned at a crucial intersection of the company - infusing human intelligence into machine-learning algorithms. Your day-to-day work will be about translating fuzzy human behavior into clear code, enhancing our algorithms' overall performance. You'll be working alongside risk experts, developers and business stake-holders, reporting directly to the CTO.
Among others, your responsibilities would include: -You will design, develop and implement algorithm improvements into our core engine, allowing it to reach new accuracy levels, combining statistical and behavioral machine learning methods -You will tackle the most complex data-enrichment challenges requiring a deep understanding of the fraud domain as well as a well-rounded technical skill-set -You will identify, acquire and implement new data sources to feed the core engine
Skills & Requirements: -You are an excellent communicator that can translate business needs to code and vice versa. You can clearly articulate statistical modeling and machine-learning techniques to non-experts. -You have at least a Master's degree in physics, computer science, applied mathematics, engineering or a related field -You have at least 5 years of professional work experience, where you were required to solve analytical problems using quantitative approaches. Past experience in Cyber-Security, FinTech or eCommerce is a big plus. -A strong passion for empirical research and for answering hard questions with data -You have mastered at least one data analysis tool: R, Matlab, or SAS -Very good familiarity with relational databases and SQL -Experience working with distributed computing tools is a plus (Map/Reduce, Hadoop, Hive, etc.) -Experience with C++/GoLang is a big plus -Business fluent in English
What we offer: -A dynamic, young, highly motivated and international team with flat hierarchies -Fun, creative and focused teams committed to learning and problem-solving through collaboration -Competitive remuneration package -Office located in the heart of Berlin
We are looking forward to receiving your applicatio: [email protected].