Degree in Computer Engineering
Algorithms, Apache Airflow, Big Data Technology, Data Mining, Data science techniques, Elasticsearch, English Proficiency, Linux Operating system, Machine learning techniques, MLflow, Natural Language Processing (NLP), Pandas, Product Management, PySpark, Python Programming, R Programming, Spark Core
ThetaRay is the leading provider of AI-based Big Data analytics.
We are dedicated to helping financial organizations combat financial crimes through money laundering and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking which negatively impact the global economy.
Our Unsupervised and Semi-Supervised Intuitive AI solutions enable clients to manage risk, detect money laundering schemes, uncover operational issues, and reveal valuable new growth opportunities.
ThetaRay is looking for a Data Scientist for customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers’ challenges and needs, defining and developing appropriate technical and business solutions. The Data Scientist will work closely with ThetaRay’s Product Management, Algorithm, Engineering, and Customer Success teams and lead external partners to successful implementations of the ThetaRay platform and solutions.
ThetaRay is a fintech software and big data analytics company with headquarters in Hod HaSharon, Israel and New York, and offices in Madrid, London, and Singapore. The company provides AI-powered SaaS and on-premises anti-money-laundering (AML) transaction monitoring and sanctions screening software for banks, fintechs, and government Financial Intelligence Units (FIUs). The platform is also used to uncover unknown opportunities based on big data