Our company is a pioneer of advanced technology that provides risk intelligence for global enterprises.
We use artificial intelligence and machine learning modeling to crawl millions of domains and give our clients full visibility, insight, and understanding of the internet.
We shine a light on hidden merchant risk and reveal new opportunities to help businesses grow.
About the role:
Our company is looking for our Head of Data Science & AI to join the growing department of Core Engineering, Data & AI Department, reporting to the departments head (Director).
If you are a strong DS leader & manager, focused on how to leverage algorithmic technologies that aim at business value, passionate about impact as well as learning SOTA in the DS & AI domains, can go up to the birds view while also developing her hands-on skills, can learn and adjust quickly, with a start-up mentality well be happy tohave you onboard want you join us.
The DS & AI team is developing our core risk detection capabilities, identifying bad actors and structuring heavily unstructured data (i.e. the internet) using machine & deep learning models, NLP, text & image extraction and many other approaches, all aimed to help our customers reduce their risk.
Responsibilities:
Define the data science methodologies and best practices and enforcing its practice
Introduce new algorithmic/DS methodologies, technologies and SOTA algorithms that can make a positive impact on our product and the way we develop new products
Develop POCs of new technologies/algorithms together with the DS in the squads
Be the professional home to our DS - coach, mentor, plan and monitor their personal development
Work with the DS hands-on on a need-to-go basis per quarter to deliver new solutions to production
Lead and be part of new Data Exploration efforts towards improving business KPIs (e.g. enrichments)
Lead and set requirements for data annotation initiatives, feedback loops and active learning
Lead and set requirements for new Data Products, Data Services and ML Flow design (feature extraction & feature stores, Model deployments and MLOps, Data Model)
Make sure knowledge is improved and maintained within the DS professionals (paper reviews, conferences)
Monitor and report quality KPIs on a weekly basis, to help our DS and teams decide where should focus on
Influence on the companys workplan to meet its quality KPIs
Recruit and train new DS, letting go when required
Requirements: 8+ years of proven experience in Data Science & AI, at least 3 years as a Data Science Leader & manager in a product company.
Experience in developing end-to-end machine/ deep learning production-grade pipelines that successfully served their business goals and helped customers to achieve more.
MSc/Ph.D. in Computer Science or equivalent an advantage
Experience with imbalanced data and fraud domains - An advantage
Experience with NLP, CV, and advanced modern DL architectures (e.g. ZSL, transformers) - a big advantage
Additional experience in software development An advantage
המשרה מיועדת לנשים ולגברים כאחד.