Data Scientist

alphacoders

Data Scientist responsible for developing and optimizing machine learning models for enterprise clients. Collaborating closely with stakeholders to drive data-driven decision-making.

Posted 4/23/2026full-timeKöln • 🇩🇪 GermanyMid-LevelSenior💰 €70,000 - €80,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudPythonScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

As a technical solution and implementation partner, you will work on varied client projects and support the entire machine-learning lifecycle from data analysis to production deployment.
You will develop, validate and optimize machine-learning models using Python and common frameworks such as TensorFlow and scikit-learn.
The operationalization of models (deployment, monitoring, integration) is a central part of your responsibilities — with a focus on MLOps and production systems.
You will analyze and process large datasets (e.g., using Python, SQL, Spark) and derive concrete recommendations for the business units.
In close coordination with clients and internal stakeholders, you will present results clearly and advise on data-driven decisions.

Requirements

What you’ll need

Several years of practical experience in data science / machine learning
Excellent knowledge of Python and experience with common ML frameworks (e.g., TensorFlow, scikit-learn)
Hands-on experience in developing and, in particular, operationalizing machine-learning models
Experience working with large datasets and basic knowledge of SQL and data structures
Ideally experience with Databricks, Spark or comparable technologies, as well as cloud environments (e.g., Azure or AWS)
Structured, solution-oriented working style and strong communication skills when working with business stakeholders
Business-fluent German (C1 level) and confident communication in English

Benefits

Comp & perks

Work–life balance: 40-hour week, hybrid working model (60% remote), 30 days annual leave (+ 2 company event days)
Attractive benefits: competitive compensation (€70–80k + bonus), multi-day company events, company bike (JobRad), in-house gym and mobility allowance
Development: Individual professional and personal training opportunities and the possibility to specialize further in MLOps or advanced ML topics

ATS Keywords

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Hard Skills & Tools

machine learningdata analysismodel optimizationPythonTensorFlowscikit-learnSQLSparkMLOpsdata structures

Soft Skills

communication skillssolution-oriented working styleclient coordinationpresentation skillsadvisory skills