Senior Data Scientist bei Monkee | DEVjobs.at

Farkas Kiss Endre legjobb állása Monkee

Bewerbung fur Full Stack Engineer - Monkee

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Lieber Monkee!

Ich möchte mich bei Ihrem Unternehmen als Senior Data Scientist bei Monkee | DEVjobs.at bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

Deine Rolle im Team
**Develop** and improve the **core data engine** of the company that focuses on matching customers with retail partners to optimize their household expenses
**Lead the technical team within a high-profile technology grant** and ensure that results are delivered in a timely and high-quality manner
**Collaborate** with development teams **to design and build the date pipelines** to provide recommendations to users via the app and measure outcomes to further improve the data engine
Work with company founders to further develop the companies'**business intelligence setup** and **reporting structures** to support data-driven decision-making

Technologien und Skills
Python
scikit-learn
FastAPI
Flask
Core Data
SQL
Pandas

Unsere Erwartungen an dich:
Qualifikationen
You are working in a**self-directed** way and enjoy following through new developments from concept stage all the way to implementation.
You are proficient in working at the**intersection of science and business** where you thrive at implementing **innovative new solutions** that create **real business impact** .
You are a**team player** and like to work in a highly collaborative environment.
You speak**English fluently (minimum B2)** and are capable of communicating complex technical concepts in the language - German language skills are a plus.
You have extensive knowledge of**Python** and the relevant packages (e.g. Scikit-learn, Pandas, Flask/FastAPI) as well as **SQL** .
You are not just able to**create machine learning models** but are also able to **create and deploy the relevant pipelines** to get your model out to customers

Erfahrung
You are experienced in**applying statistical and quantitative models** to real world problems and are able to extract the key information and present it for business use.

Ausbildung
Completed Bachelor, Master or Ph.D. in Computer Science, Mathematics, or a related field, alternatively 3-5 years of work experience in real-life data science applications

Benefits
Flexible Arbeitszeiten
Gute Anbindung