Data Scientist
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Role details
Tech stack
Job description
? About usmscope is a fast growing fintech applying proprietary AI to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth.Were an ambitious, talented & international team of 30+ eager to build high-quality solutions with real impact on the economy & society.Backed by strong investors & strategic partners across the fintech sector, we build a suite of disruptive SaaS products using cutting-edge technology: AWS cloud-first architecture, Glue + Pyspark orchestration for Big Data, multi-agent AI systems on Amazon Bedrock, AI-accelerated development with Claude Code, modern stack (Spring Boot, React-Redux).The real challenge is execution: delivering fast without compromising quality.If youre motivated by building mission-critical infrastructure that impacts million-dollar decisions, this is your place.We are looking for an experiencedData Scientistto strengthen ourData Team.?? What we offerLead end-to-end Data projects: Define problem statement, analyze data, design algorithms & advanced models, and implement your solutions in production ?Effectively lead and mentor Junior Data Scientists, serving as a role model and providing guidance for their development and growth ?Share your insights on a regular basis with technical & business teams ?Be an active part of a dynamic and multidisciplinary environment, collaborating with experienced Tech and Product teams ?Contribute your ideas & innovative initiatives as part of the Data teams continuous improvement efforts ?Learn as much as you want about the world of alternative investment ?? What were looking forHands-on attitudeAt least 4 years of experience as Data ScientistRobust knowledge of Statistics, Big Data, ML algorithms and NLP techniquesRobust knowledge of Python and PySparkYoure fluent (C1) in both Spanish and EnglishHaving knowledge of LLMs is a plus? ConditionsBase pay + performance bonus, private health insurance, Gympass and pension plan ?25 days of vacation (and your birthday off!) ?Hybrid mode: 2 days in office 3 days in remote ?Location: Downtown Madrid (Salamanca district) ?If interested, please email ** ?
Requirements
Hands-on attitude At least 4 years of experience as Data Scientist Robust knowledge of Statistics, Big Data, ML algorithms and NLP techniques Robust knowledge of Python and PySpark Youre fluent (C1) in both Spanish and English Having knowledge of LLMs is a plus
About the company
mscope is a fast growing fintech applying proprietary AI to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. Were an ambitious, talented & international team of 30+ eager to build high-quality solutions with real impact on the economy & society. Backed by strong investors & strategic partners across the fintech sector, we build a suite of disruptive SaaS products using cutting-edge technology: AWS cloud-first architecture, Glue + Pyspark orchestration for Big Data, multi-agent AI systems on Amazon Bedrock, AI-accelerated development with Claude Code, modern stack (Spring Boot, React-Redux). The real challenge is execution: delivering fast without compromising quality. If youre motivated by building mission-critical infrastructure that impacts million-dollar decisions, this is your place. We are looking for an experiencedData Scientistto strengthen ourData Team. ?? What we offer Lead end-to-end Data projects: Define problem statement, analyze data, design algorithms & advanced models, and implement your solutions in production ? Effectively lead and mentor Junior Data Scientists, serving as a role model and providing guidance for their development and growth ? Share your insights on a regular basis with technical & business teams ? Be an active part of a dynamic and multidisciplinary environment, collaborating with experienced Tech and Product teams ? Contribute your ideas & innovative initiatives as part of the Data teams continuous improvement efforts ? Learn as much as you want about the world of alternative investment ?
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