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Data Scientist — Resume Examples by Profession 2026

A data scientist resume must bridge technical depth and business impact. Here is a complete sample that shows how to present both effectively.

Free Resume Sample — Data Scientist

J
Jonas Braun
Senior Data Scientist | Machine Learning · NLP · Python

Kontakt

j.braun@datascience.de
+49 89 55667788
München

Fähigkeiten

Python (scikit-learn, PyTorch)SQL / SparkMLflow / AirflowNLP / TransformersRTableau / Looker

Sprachen

DeutschMuttersprache
EnglischVerhandlungssicher

Zertifikate & Auszeichnungen

Google Professional Data Engineer
Google Cloud
Jan 2023
Deep Learning Specialization
Coursera / deeplearning.ai
Mai 2021

Profil

Data Scientist mit 6 Jahren Erfahrung im Aufbau und Deployment von Machine-Learning-Modellen in Produktion. Spezialisiert auf NLP, Recommendation Engines und A/B-Testing-Frameworks. Starker akademischer Hintergrund in angewandter Statistik.

Berufserfahrung

Senior Data Scientist
Allianz SE · München
Mai 2020 – Heute
  • ▸Aufbau eines Churn-Prediction-Modells mit 87% Recall — jährliche Retention-Steigerung um ~4 Mio. €
  • ▸NLP-Pipeline für automatische Schadensklassifizierung (30% Kosteneinsparung im Backoffice)
  • ▸Einführung eines MLOps-Frameworks (MLflow + Kubernetes) für das gesamte Data-Science-Team
Data Scientist
ProSiebenSat.1 Media SE · Unterföhring
Feb 2018 – Apr 2020
  • ▸Collaborative-Filtering-Recommendation-Engine für 8 Mio. Nutzer gebaut
  • ▸A/B-Testing-Framework implementiert, das die statistische Auswertung von Experimenten um 70% beschleunigt

Bildung

M.Sc. Statistik
Ludwig-Maximilians-Universität München · Statistical Learning
Okt 2015 – Dez 2017

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Expert Tips: Data Scientist

  • Lead with your primary tools: Python, R, SQL, TensorFlow, PyTorch
  • Describe the business impact of models, not just accuracy metrics
  • Include a link to Kaggle profile, GitHub, or published papers
  • Specify data types and scales: "trained on 500M+ records" adds credibility
  • Distinguish between ML engineering (production) and research/analysis roles

Key Skills for Data Scientist

PythonRSQLMachine LearningTensorFlowPyTorchTableauBigQuery

Data Science Resume: Technical vs Business Focus

Pure technical resumes often miss the mark — hiring managers want to see how your models drove decisions or generated revenue. Frame each project as: problem → approach → measurable result. "Churn prediction model reduced customer attrition by 18%" is far stronger than "built an ML model".

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