What youll be doing:
Be the professional leader and mentor to a team of talented data scientists and researchers.
Devise creative solutions to highly intricate real-world problems, using statistics, domain expertise, ML, graph theory, or anything else.
Work on the core of a multi-faceted system, at the junction of identity, similarity, and fraud detection, which is at the heart of technology, and critical to its bottom line.
Find techniques for automated learning from our data, which is meso-big and only sometimes tagged. In particular, hold our complex similarity search, clustering and anomaly detection fields.
Work alongside domain experts to define and develop the way we should synthesize a large corpus of analytical knowledge insights into a scalable streamed flow.
Develop measures, metrics, and uses for our large graph of humans and how to spot those fraudsters hiding in there.
Promote solutions and sophisticated ideas, communicate them to peers, management and customers. Be the Data Science face of the identity network domain of the company.
Proven record of at least 3 years of leading a team of experienced data scientists with clear KPIs and results that moved the needle.
Strong academic background and hands-on industry experience.
Working with analysts or domain experts – an advantage.
Proven ability to work well sideways (with peers and vendors) and upward (with management).
Proven team building and management abilities. Your people are very effective, happy, energized, and grow.
Delivery oriented and capable: Algorithms, processes, specifications to R&D.
Proactive. Tell us where we can use data more effectively, but we currently do not. Draw the boundaries of what is possible – you are the expert.
Wide knowledge of statistical methods, Bayesian probability, and machine learning techniques.
Background in: Python, SQL,
Experience with Big Data, including parallel processing of NoSQL data stores – a plus.
Professional proficiency in English.
