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Data scientist

Ludwigsburg
Harnham
Data Scientist
Inserat online seit: 26 Juli
Beschreibung

Data Scientist - SAP / Statistics


Location: Ludwigsburg, Germany (On-site, 4-5 days/week)
Contract Length: 3 Years
Type: Full-time Contract
Day Rate: €400-€500 per day (depending on experience)






About the Role


We are supporting a global consultancy in hiring a Data Scientist for a long-term data transformation engagement in Ludwigsburg, Germany. This role requires strong experience with SAP data tools and statistical modelling to support the design, deployment, and analysis of large-scale business data initiatives.

You'll work in a fast-paced, enterprise environment where data drives operational and strategic decisions.






Responsibilities

* Design and implement analytics solutions using SAP Datasphere and related platforms

* Develop and apply statistical models and algorithms to solve complex business problems

* Build robust data pipelines and tools using Python, PySpark, and SQL

* Create dashboards and visual reports in Tableau

* Collaborate with cross-functional teams in a SAFe Agile environment

* Ensure high-quality data governance, validation, and performance tracking






Requirements

* Proven experience in a Data Scientist or advanced Data Analyst role

* Strong hands-on skills with SAP (Datasphere highly preferred)

* Proficiency in Python, PySpark, SQL

* Solid background in statistical analysis and data modelling

* Experience with Tableau or equivalent BI tools

* Familiarity with SAFe/Agile working environments

* Fluent English (spoken and written)

* Ability to work 4-5 days/week on-site in Ludwigsburg






What's on Offer

* Competitive day rate of €400-€500

* Long-term contract with enterprise-level exposure

* High-impact role on a mission-critical project

* Exclusive opportunity: only 2 profiles will be submitted





Desired Skills and Experience

Skills & Experience
SAP Datasphere

SAP Data Integration

Data Science

Statistical Modelling

Python Programming

PySpark

Tableau

Data Visualization

Predictive Analytics

Data Engineering

Big Data

SQL

Agile Methodology (SAFe)

Data Pipelines

Business Intelligence (BI)

Cloud Data Platforms

Data Governance

Regression Analysis

Machine Learning Fundamentals

English Fluency

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