(Junior) Data Scientist (m/f/d) - Credit Card

CHECK24 Services GmbH; München; Vor Ort; EUR 45.000 - 70.000; Vollzeit

Zusammenfassung

Ein dynamisches Unternehmen sucht einen motivierten (Junior) Data Scientist, um innovative Lösungen im Fintech-Bereich zu entwickeln. In dieser spannenden Rolle werden Sie an der Gestaltung und Implementierung von Machine Learning-Algorithmen arbeiten, die die Leistung von Empfehlungs- und Ranking-Systemen verbessern. Sie werden die Möglichkeit haben, mit erfahrenen Data Scientists zu interagieren und Ihre Fähigkeiten in einem kreativen und unterstützenden Umfeld zu erweitern. Wenn Sie eine Leidenschaft für Daten und Fintech haben, ist dies die perfekte Gelegenheit für Sie, Ihre Karriere voranzutreiben und einen echten Einfluss zu haben.

Leistungen

Start-up Flair

Networking-Möglichkeiten

Urlaubs-Booster

Team-Events

Kostenlose Getränke und frisches Obst

Jobrad Zuschuss

Qualifikationen

• Hintergrund in Informatik, Mathematik oder ähnlichen Bereichen.
• Gute Kenntnisse der grundlegenden Konzepte der Datenwissenschaft.

Aufgaben

• Unterstützung bei der Gestaltung und Implementierung von Machine Learning-Algorithmen.
• Zusammenarbeit mit Produktmanagern und Software-Ingenieuren.

Kenntnisse

Python

Machine Learning

Data Science

Problem-solving

Communication

Ausbildung

Computer Science

Mathematics

Statistics

Tools

FastAPI

Docker

sklearn

XGBoost

LightGBM

SQL

NoSQL

Jobbeschreibung

(Junior) Data Scientist (m/f/d) - Credit Card

About this job

CHECK24 is Germany's largest comparison portal and a dynamic startup in one. In small agile teams, we work daily on more than 50 products to make life easier for our over 15 million customers: We create transparency, make complex products easily understandable, and help consumers save time and money. As a (Junior) Data Scientist (m/f/d) - Credit Card, you will have the opportunity to gain practical experience while contributing to the development of recommender systems and ranking topics in the Fintech area. We are looking forward to receiving your application as a highly motivated (Junior) Data Scientist (m/f/d) at CHECK24 Vergleichsportal Karten & Konten GmbH in Munich.

Your Responsibilities

• Assist in the design and implementation of machine learning algorithms to enhance our ranking/recommender engine performance
• Contribute to ensuring interpretable and explainable solutions
• Support the development and deployment of microservices using FastAPI, Docker, and machine learning libraries
• Collaborate with the team of product managers and software engineers

Your Qualifications

• Background in computer science, informatics, mathematics, statistics, or similar fields
• Good understanding of basic Data Science concepts
• Proficient in Python and familiar with main Data Science and Machine Learning libraries
• Experience with Classical Machine Learning based solutions and pipelines (sklearn, XGBoost, LightGBM)
• Experience with Data Engineering implementation (Sql, NoSql)
• Hands-on approach to latest as well as established methods and strong problem-solving and analytical skills
• Communication and presentation skills
• Interest in recommender systems and ranking problems, as well as in Fintech and the Credit Card business context

Benefits

• Start-up flair: Enjoy the dynamic of a start-up flair combined with the security of an established online company
• Networking: Benefit from the opportunity to collaborate and network with experienced Data Scientists across CHECK24
• Vacation Booster: You can work from home on Fridays. For every Friday you choose to work from the office, you'll earn a ¼ vacation day, which you can accumulate, use, or even cash out
• Celebration: We like to celebrate successes together at numerous team events
• CheckitoLunch: Four times a week in addition to free drinks, fresh fruit, and cereals for breakfast
• Jobrad: Do you live nearby and want to come by bike? We will support you with a subsidy for a job bike

Application

Lilly Jacobs
[e-mail]
Send us applications only through our online application form, please. Apply now.