Data Scientist
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Description
๐ ๐๐ฏ๐ผ๐๐ ๐๐
mscope is a ๐ณ๐ฎ๐๐ ๐ด๐ฟ๐ผ๐๐ถ๐ป๐ด ๐ณ๐ถ๐ป๐๐ฒ๐ฐ๐ต applying ๐ฝ๐ฟ๐ผ๐ฝ๐ฟ๐ถ๐ฒ๐๐ฎ๐ฟ๐ ๐๐ to Microeconomics & Finance to help institutional investors identify highly promising SMEs and accelerate their growth. We're an ambitious, talented & international team of ๐ฏ๐ฌ+ 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 ๐ฑ๐ถ๐๐ฟ๐๐ฝ๐๐ถ๐๐ฒ ๐ฆ๐ฎ๐ฎ๐ฆ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ 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 ๐๐น๐ฎ๐๐ฑ๐ฒ ๐๐ผ๐ฑ๐ฒ, modern stack (Spring Boot, React-Redux).
The real challenge is execution: delivering fast without compromising quality. If you're motivated by building ๐บ๐ถ๐๐๐ถ๐ผ๐ป-๐ฐ๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น ๐ถ๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ that impacts ๐บ๐ถ๐น๐น๐ถ๐ผ๐ป-๐ฑ๐ผ๐น๐น๐ฎ๐ฟ ๐ฑ๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป๐, this is your place.
We are looking for an experienced Data Scientist to strengthen our Data Team.
๐ ๏ธ ๐ช๐ต๐ฎ๐ ๐๐ฒ ๐ผ๐ณ๐ณ๐ฒ๐ฟ
- ๐๐ฒ๐ฎ๐ฑ ๐ฒ๐ป๐ฑ-๐๐ผ-๐ฒ๐ป๐ฑ ๐๐ฎ๐๐ฎ ๐ฝ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐๐: Define problem statement, analyze data, design algorithms & advanced models, and implement your solutions in production ๐ง
- Effectively ๐น๐ฒ๐ฎ๐ฑ ๐ฎ๐ป๐ฑ ๐บ๐ฒ๐ป๐๐ผ๐ฟ ๐๐๐ป๐ถ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐๐๐, serving as a role model and providing guidance for their development and growth ๐ฅ
- ๐ฆ๐ต๐ฎ๐ฟ๐ฒ ๐๐ผ๐๐ฟ ๐ถ๐ป๐๐ถ๐ด๐ต๐๐ on a regular basis with technical & business teams ๐ข
- Be an active part of a ๐ฑ๐๐ป๐ฎ๐บ๐ถ๐ฐ ๐ฎ๐ป๐ฑ ๐บ๐๐น๐๐ถ๐ฑ๐ถ๐๐ฐ๐ถ๐ฝ๐น๐ถ๐ป๐ฎ๐ฟ๐ ๐ฒ๐ป๐๐ถ๐ฟ๐ผ๐ป๐บ๐ฒ๐ป๐, collaborating with experienced Tech and Product teams ๐ค
- ๐๐ผ๐ป๐๐ฟ๐ถ๐ฏ๐๐๐ฒ ๐๐ผ๐๐ฟ ๐ถ๐ฑ๐ฒ๐ฎ๐ & ๐ถ๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐๐ฒ ๐ถ๐ป๐ถ๐๐ถ๐ฎ๐๐ถ๐๐ฒ๐ as part of the Data team's continuous improvement efforts ๐ก
- Learn as much as you want about the world of alternative investment ๐
๐ฏ ๐ช๐ต๐ฎ๐ ๐๐ฒ'๐ฟ๐ฒ ๐น๐ผ๐ผ๐ธ๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ
- Hands-on attitude
- At least 4 ๐๐ฒ๐ฎ๐ฟ๐ of experience as ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐๐ถ๐๐
- Robust knowledge of ๐ฆ๐๐ฎ๐๐ถ๐๐๐ถ๐ฐ๐, ๐๐ถ๐ด ๐๐ฎ๐๐ฎ, ๐ ๐ ๐ฎ๐น๐ด๐ผ๐ฟ๐ถ๐๐ต๐บ๐ ๐ฎ๐ป๐ฑ ๐ก๐๐ฃ ๐๐ฒ๐ฐ๐ต๐ป๐ถ๐พ๐๐ฒ๐
- Robust knowledge of ๐ฃ๐๐๐ต๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ฃ๐๐ฆ๐ฝ๐ฎ๐ฟ๐ธ
- You're ๐ณ๐น๐๐ฒ๐ป๐ (๐๐ญ) ๐ถ๐ป ๐ฏ๐ผ๐๐ต ๐ฆ๐ฝ๐ฎ๐ป๐ถ๐๐ต ๐ฎ๐ป๐ฑ ๐๐ป๐ด๐น๐ถ๐๐ต
- Having knowledge of ๐๐๐ ๐ is a plus
๐ ๐๐ผ๐ป๐ฑ๐ถ๐๐ถ๐ผ๐ป๐
- Base pay + ๐ฝ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ฎ๐ป๐ฐ๐ฒ ๐ฏ๐ผ๐ป๐๐, private health insurance, Gympass and pension plan ๐ฐ
- ๐ฎ๐ฑ ๐ฑ๐ฎ๐๐ ๐ผ๐ณ ๐๐ฎ๐ฐ๐ฎ๐๐ถ๐ผ๐ป (and your ๐ฏ๐ถ๐ฟ๐๐ต๐ฑ๐ฎ๐ ๐ผ๐ณ๐ณ!) ๐ด
- ๐๐๐ฏ๐ฟ๐ถ๐ฑ mode: 2 days in office 3 days in remote ๐
- Location: ๐๐ผ๐๐ป๐๐ผ๐๐ป ๐ ๐ฎ๐ฑ๐ฟ๐ถ๐ฑ (๐ฆ๐ฎ๐น๐ฎ๐บ๐ฎ๐ป๐ฐ๐ฎ ๐ฑ๐ถ๐๐๐ฟ๐ถ๐ฐ๐) ๐
- If interested, please email ๐ฐ๐น๐ฎ๐๐ฑ๐ถ๐ฎ.๐ฒ๐๐๐ฒ๐ฏ๐ฎ๐ป@๐บ๐๐ฐ๐ผ๐ฝ๐ฒ.๐๐ฒ๐ฐ๐ต ๐ฉ
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