Senior / Lead Data Scientist - Applied Statistics & Machine Learning - €100,000 - Hybrid - Munich

FINDR, INC.
Munich, ND, United States
13 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Amazon Web Services Statistical Hypothesis Testing Python (Programming Language) Machine Learning Tensorflow Pytorch Large Language Models Model Validation Scikit Learn

Job description

Keywords: Data Scientist, Senior Data Scientist, Lead Data Scientist, LLMs, Machine Learning, Applied Statistics, Predictive Analytics, Statistical Modelling, Python, scikit-learn, PyTorch, TensorFlow, AWS, Time Series, AI, Consulting, Healthcare, Finance, Insurance, Manufacturing

Requirements

  • Commercial Data Science and Machine Learning experience
  • Strong understanding of statistics, uncertainty, hypothesis testing and model evaluation
  • Excellent Python skills and experience with modern ML frameworks
  • Comfortable working directly with customers and stakeholders
  • Fluent English

Most importantly, we’re looking for someone who instinctively questions the data before trusting the model. Someone who sees an unexpectedly high accuracy score as the beginning of the investigation rather than the end of it.

About the company

We’re supporting a growing AI & Data Science company in Darmstadt that partners with customers across healthcare, insurance, finance, energy and manufacturing to solve complex real-world problems. Every project is different, giving you the opportunity to tackle genuinely interesting technical challenges rather than building the same product repeatedly.

You’ll work directly with customers, taking projects from problem definition through to deployment and presenting your findings to senior stakeholders. It’s a role with genuine ownership, where technical quality matters far more than chasing the latest AI trend.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:42 min

Choosing specialized libraries beyond scikit-learn

Adrian Schmitt · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

6:38 min

Coding decision trees in scikit-learn

Adrian Schmitt · LIVE

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer · World Congress 2021

Videos

See all

Related articles

See all