Impactful Data Scientist — Computer Vision & ML

Code for Good; Eindhoven; On-site; EUR 39,000 - 56,000; Full time

Benefits offered by this job

Real ownership of platform and tech

Open culture with fast action

Salary €3.500 - €5.000+ per month (var

Growth opportunities

Center of Eindhoven

Job summary

Code for Good in Eindhoven is seeking a Data Scientist to turn raw, real-world data into validated models across images, video, sensor data, and text. You’ll own problems from initial exploration through to a deployable solution, applying robust evaluation and principled experiments.

In this role you’ll move between structured data and unstructured text, selecting the right technique rather than chasing trends. Strong Python, CV/ml experience, and clear communication are essential.

Qualifications

• A few years applying data science and machine learning to real-world problems, ideally beyond academic or research settings.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field, or equivalent practical experience
• Strong foundation in statistics and machine learning, with good judgement about which approach fits which problem
• Hands-on experience with computer vision and common deep learning frameworks (e.g. PyTorch, TensorFlow)
• Solid Python skills for data analysis, experimentation and model development
• Experience designing experiments and evaluation methodology, and validating results rigorously
• Comfortable with version control and reproducible experiment workflows
• Able to manage your own priorities across multiple problems, and work independently once a problem is scoped
• Strong communication skills: comfortable explaining technical findings to non-technical stakeholders
• A pragmatic, curious mindset: you care about solving the actual problem, not just optimising a metric

Responsibilities

• Frame open-ended business or client problems as data science problems, and scope an approach that fits the data and the goal
• Build computer vision models for tasks such as detection, classification, segmentation or tracking, and apply comparable rigor to other data types as the problem requires
• Explore and clean data, engineer features, and make deliberate choices about data quality and labeling
• Design sound experiments: define metrics, build evaluation methodology, and validate results against real data rather than assumptions
• Iterate on models based on findings, and know when a simpler, more robust approach beats a more sophisticated one
• Collaborate with engineers, product owners and domain experts to get models working inside a real system, not just a notebook
• Keep experiments reproducible and your work well documented, so others can pick it up, review it, or build on it
• Stay on top of new techniques and tools, and judge honestly whether they're worth adopting for the problem at hand
• Communicate findings, trade-offs and recommendations clearly to both technical and non-technical audiences

Skills

Data science

Machine learning

Statistics

Python

Experiment design

Reproducible workflows

Communication

Independent work

Problem solving

Data visualization

Education

Bachelor's or Master's in Computer Science/Data Science/Statistics/Applied Math

Tools

PyTorch

TensorFlow

Job description

Code for Good in Eindhoven is seeking a Data Scientist to turn raw, real-world data into validated models across images, video, sensor data, and text. You’ll own problems from initial exploration through to a deployable solution, applying robust evaluation and principled experiments.

In this role you’ll move between structured data and unstructured text, selecting the right technique rather than chasing trends. Strong Python, CV/ml experience, and clear communication are essential.