Data Scientist (f / m / d)

Freudenberg; Weinheim (Kernstadt); Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

An innovative firm is looking for a data engineer to work on exciting projects involving data analysis, machine learning, and AI. This role offers the opportunity to independently develop project proposals and apply advanced statistical methods in a dynamic environment. You will analyze data flows and provide insights that drive decision-making within the organization. If you have a passion for data engineering and a strong technical background, this position is perfect for you. Join a forward-thinking company that values creativity and innovation in the field of data science.

Qualifikationen

• Completed technical or scientific studies or a comparable qualification.
• Experience in data science methods for model creation and analysis.

Aufgaben

• Independent processing of tasks in projects.
• Advising internal customers on data analysis and evaluation.

Kenntnisse

Statistical Methods

R Programming

Python Programming

Spark

Data Analysis

Machine Learning

AI

English Proficiency

German Proficiency

Ausbildung

Technical Studies

Scientific Studies

Tools

Azure

MS Azure Databricks

Jobbeschreibung

Working at Freudenberg : We will wow your world!

Responsibilities :

• Largely independent processing of tasks in projects
• Largely independent development of project proposals
• Analysis and evaluation of methods in the field of data engineering, data analysis, design of experiments, machine learning and AI with regard to their relevance for the Freudenberg Group
• Largely Independent application and implementation of the above-mentioned methods
• Advising internal customers on the preparation, analysis and evaluation of relevant data
• Creation of functional documentation and reports

Qualifications :

• Completed technical or scientific studies or a comparable qualification
• Knowledge of : statistical methods; common programming languages used for data analysis, such as “R”, “Python” or “Spark”; IT environment of continuous data flows (e.g. cloud applications in Azure or comparable environments)
• Experience with data science methods for model creation, data analysis and evaluation
• Experience in the use of distributed IT systems (data sources) and cloud-based solutions for data analysis, such as MS Azure Databricks, is advantageous
• Good knowledge of English, knowledge of German is an advantage