Data Scientist (Python / Azure ML) – Real-Time AI Decisioning - Frankfurt - €85–100K

Findr; Frankfurt; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading technology company in Frankfurt is seeking a Mid-Senior Level Data Scientist to build production-grade machine learning systems that enable real-time decision-making across behavioral datasets. You'll work with advanced tools like Azure ML and contribute to exciting projects that shape user experiences. This role emphasizes collaboration, requiring you to engage closely with applied AI, engineering, and product teams, thus making a measurable impact on the outcomes delivered to users. Embrace the opportunity to thrive in a dynamic environment.

Qualifikationen

• 5+ years of hands-on machine learning in Python.
• Practical cloud experience, preferably with Azure.

Aufgaben

• Build end-to-end ML models for user profiling and recommendations.
• Operate in Azure ML: data workflows, pipelines, and training environments.
• Apply NLP and computer vision to enhance user understanding.

Kenntnisse

Machine learning in Python

Cloud experience (Azure preferred)

Collaboration

Quality and clarity standards

Tools

scikit-learn

PyTorch

Azure ML

Kubernetes

Jobbeschreibung

If you want to build AI systems that make decisions in real time — not just produce offline predictions - this role is genuinely rare.

This company has built a next-\u201c\u201d decisioning platform that interprets behaviour at scale and takes hundreds of automated decisions every second. Their models transform raw behaviour signals into real-\u201c\u201d scores that drive personalised rankings, recommendations, and user experiences across millions of journeys.

You’ll be working with cutting-\u201c\u201d ML, real-\u201c\u201d inference, Azure ML pipelines, and a high-speed production environment where your work directly shapes the outcomes users see.

Why this role is exciting

• You’ll build production-grade ML systems that run continuously - not just notebooks
• Your work powers real-time decisioning across massive behavioural datasets
• True autonomy: low bureaucracy, high trust, modern engineering culture
• Close collaboration with applied AI, engineering, and product
• You get startup-like ownership backed by the stability of a well-established tech group
• This platform represents the future of how digital products decide and adapt at scale

What you’ll do

• Build end-to-end ML models for user profiling, recommendations, sorting, and incentives
• Use frameworks like scikit-learn, PyTorch, and GPU-accelerated toolkits
• Operate in Azure ML: data workflows, pipelines, training, environments, endpoints, compute
• Apply NLP and computer vision to enrich user and product understanding
• Validate and communicate results through A/B tests and performance monitoring

Who you are

A collaborative, ambitious data scientist who values quality, clarity, and measurable impact.

You bring:

• 5+ years hands-on machine learning in Python
• Practical cloud experience (Azure preferred)

You know or want to learn:

• Working with diverse datasets (Blob Storage, MongoDB, Elasticsearch, Cassandra)
• The full ML lifecycle: sampling, deployment, scaling endpoints (Kubernetes/AKS), monitoring
• Building scalable, production-ready ML pipelines - not just experiments

Apply now to avoid missing out!

Keywords: Python, Azure ML, Machine Learning, Real-Time Decisioning, AI Decision Automation, scikit-learn, PyTorch, pandas, numpy, dask, polars, rapids, NLP, Computer Vision, A/B Testing, Behavioural Data, User Profiling, Ranking Models, Data Enrichment, Azure, Cloud ML Pipelines, Model Deployment, Kubernetes, AKS, Distributed Systems, MongoDB, Elasticsearch, Cassandra, Blob Storage, Data Streaming, Performance Monitoring, ML Observability, GPU Acceleration, Production ML, Travel Tech, Frankfurt

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Science, Information Technology, and Engineering

Industries

Software Development, Data Infrastructure and Analytics, and Technology, Information and Media

Location: Frankfurt am Main, Hesse, Germany