Coordenador de Ciência de Dados leading the data team in developing analytical solutions for Caixa Vida e Previdência. Focused on data science and project coordination in a collaborative environment.
About the role
- Data Scientist owning end-to-end model development life cycle for financial technology solutions at Fido in Tel Aviv-Yafo. Collaborating with diverse teams and applying ML/DL technologies.
Responsibilities
- Be the end-to-end owner of the model development life cycle - from understanding business needs through research and up to productization and monitoring.
- Apply cutting edge ML/DL technologies to solve actual business problems that will be an invaluable part of Fido product.
- Work in a highly professional multidisciplinary group of Data Scientists, Data Engineers and Data Analysts.
- Work with diverse data types ( tabular, visual, textual, time-series, geo-spatial, graphs, and more) to create models in the finance, risk management, recovery and fraud domains.
Requirements
- 3 + years of hands-on experience as a data scientist in tech companies.
- M.Sc in a quantitative field (Computer Science \ Engineering \ Mathematics \ Statistics or similar) with focus on applied statistics, AI, machine learning, or related fields.
- Proven record of translating business and product needs into successful scientific and production grade solutions.
- Strong analytical skills and experience analyzing complex data.
- Team player with strong communication skills.
- Strong Engineering Orientation: You are a builder who writes clean, production-ready code, not just research scripts.
- High proficiency in python.
- Hands-on experience with machine learning & deep learning frameworks such as Sklearn and Pytorch or Tensorflow.
- Knowledge in AWS serving and tools - advantage.
- Vision and NLP experience - advantage.
- Generative AI: Hands-on experience with the Modern LLM stack (e.g., RAG, LangChain, fine-tuning open-source models, and prompt engineering)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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