What you'll be doing:
Research and develop innovative machine learning projects up to deployment in production.
Lead projects, initiatives, and multidisciplinary task forces in a dynamic business environment.
Mentor other data scientists, influence your teammates' projects, advise colleagues from other disciplines.
Solve complex, unique data science problems that do not have an off-the-shelf solution. Dive deep into complex and multi-dimensional data sets to identify patterns, anomalies, and potential fraud indicators.
Work closely with domain experts and researchers to integrate domain-specific knowledge into our fraud detection models. Collaborate on research projects to explore new approaches and technologies.
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems is facing.
At least 8 years experience working with machine learning, data science, statistical or probabilistic modeling
Experience leading teams, multidisciplinary task forces or large data science projects from initiation to production.
An academic degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or other related discipline, with a GPA of 90+
Proficiency working in Python or another general-purpose programming language
A proven history of achieving excellence, taking ownership, and making meaningful impact
Enjoy solving difficult problems, and great at it
Love working with other people, collaborating, and sharing ideas
Advanced academic degree – an advantage
