Data Scientist

Alexander Daniels Global; Dortmund; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A pioneering AI company is seeking a dedicated Data Scientist to develop core AI capabilities that enhance manufacturing efficiency and sustainability. This remote role involves collaborating on strategic technical decisions and applying Bayesian Optimisation techniques. Candidates should have a strong background in Python and experience with optimisation under uncertainty. The position provides competitive salary, bonuses, and share options.

Leistungen

Competitive salary

Bonus

Share options

Qualifikationen

• Strong understanding of optimisation under uncertainty and multi-objective optimisation.
• Experience in Bayesian Optimisation and Gaussian Processes.
• Advanced proficiency in Python with relevant libraries.

Aufgaben

• Be the first dedicated Data Scientist, responsible for building core AI capabilities.
• Collaborate on technical decisions and prototype AI solutions.
• Develop and implement Bayesian Optimisation algorithms.

Kenntnisse

Optimisation under uncertainty

Multi-objective optimisation

Bayesian Optimisation

Gaussian Processes

Few-Shot Learning

Statistics

Experimental design

Python

sklearn

GPflow

Jobbeschreibung

Overview

Candidates must be located in Germany and eligible to work.

POSITION SNAPSHOT :

Our client is a pioneering AI company dedicated to transforming manufacturing processes through a “small data” approach to AI. In this role, you will be the first dedicated Data Scientist, responsible for building core AI capabilities that will directly impact manufacturing efficiency and sustainability at scale. You’ll work in a remote-first, collaborative environment, pioneering practical AI solutions that put an expert operator next to each industrial machine.

Responsibilities

• Be the first dedicated Data Scientist, responsible for building core AI capabilities that will directly impact manufacturing efficiency and sustainability at scale.
• Collaborate on strategic technical decisions, rapidly prototype and iterate on AI solutions.
• Develop and implement Bayesian Optimisation algorithms that suggest batches of experiments.
• Implement knowledge transfer capabilities across machines and create robust data quality systems.
• Engage with manufacturing customers to understand real-world constraints as needed.

Qualifications

• Strong understanding of optimisation under uncertainty and multi-objective optimisation.
• Occasionally engage directly with manufacturing customers to understand real-world constraints.
• Expertise in Bayesian Optimisation and Gaussian Processes.
• Hands-on experience with Few-Shot Learning.
• Solid background in statistics and experimental design.
• Advanced proficiency in Python and libraries like sklearn and GPflow.
• Manufacturing background.
• Startup mindset that prioritises practical, deployable solutions over theoretical approaches.
• Motivated by solving real-world problems with tangible industrial impact and comfortable with ambiguity and rapid priority changes.

What We Offer

Remote role, competitive salary, Bonus, Share options.

Position Snapshot is a summary of the role. Full job description is available from the client.