// Lead Data Science · Der Spiegel · Hamburg, Germany

Hi, I'm Alex Held.

10 years turning messy datasets into better products and smarter decisions — from fine dust sensors and marathon visualizations to ML-powered news recommendations and subscriber prediction at one of Germany's largest news orgs.

// selected work

Towards Data Science

Making News Recommendations Explainable with Large Language Models
Towards Data Science
2024
A Mixed-Methods Approach to Offline Evaluation of News Recommender Systems
Towards Data Science
2024

The Audiencers

How We Measure Audience Engagement at DER SPIEGEL
theaudiencers.com
2023
Audience Research: Identifying Key Engagement Drivers at DER SPIEGEL
theaudiencers.com
2024
How DER SPIEGEL Uses Its Engagement Score: Our Key Use Cases
theaudiencers.com
2025

Talks & Webinars

Identifying Valuable Potential Subscribers Through Data
INMA Smart Data Initiative Webinar
2023
How Der Spiegel Uses ML to Identify Its Most Valuable Potential Subscribers
WAN-IFRA
2023
AI in Press and Digital Distribution
MVFP Akademie / DNV Joint Webinar
2023

Medium

A Digital Map of DER SPIEGEL's 2023 Journalism
Medium · @helloheld
2023
Using OpenAI and Machine Learning to Discover News Topic Preferences
Medium · @helloheld
2023
How Der Spiegel Uses ML To Identify Its Most Valuable Potential Subscribers
Medium · @helloheld
2022

DDJ, Data Viz & Citizen Science

Bird Data Visualizations — Binoculars to Binomials
Personal project
2024
Hamburg Marathon 2018
Data Visualization
2018
Airrohr Fine Dust Sensor Analysis
Citizen Science · Open Data
2019
Bike Sharing Hamburg
Open Data
2018
Google News Fellowship @ Spiegel Online
Data Journalism
2018

Hackathons & competitions

Coding Dürer — Interactive Map
Hackathon
2017
Coding Da Vinci — Interactive Map
Hackathon
2016
Kaggle — OTTO Product Classification (Top 16%)
ML Competition
2023

// whoami

I'm Alex Held, Lead Data Science at Der Spiegel in Hamburg. Over ten years I've worked across analytics and ML engineering — building data products that improve the business, and making sure the insights behind them actually land.

At Der Spiegel I lead the development of ML- and AI-powered products: content recommendations, churn prediction, engagement scoring, and subscriber lifetime value modelling. I bridge editorial, product, and engineering — and spend a lot of time making sure results are understandable to people, not just models.

Get in touch →
Alex Held
Lead Data Science
Der Spiegel · 2019 – present
Data Analyst
ZEIT Online · 2018 – 2019
Google News Fellowship
Spiegel Online · Data Journalism · 2018
Data Analyst
etracker · 2015 – 2018
M.Sc. Business Analytics
University of Duisburg-Essen · 2012 – 2015
LinkedIn Medium