Application Guide
How to Apply for Data Scientist
at STILL
🏢 About STILL
STILL is the European market leader in intralogistics solutions, specializing in electric forklifts and custom warehouse systems. Their focus on sustainability through electric vehicles and custom solutions makes them an innovator in industrial automation. Working here offers exposure to real-world industrial data applications at scale.
About This Role
This Data Scientist role focuses on deploying practical AI solutions for intralogistics, specifically implementing RAG and agentic AI to enhance existing pilots and develop new products. You'll work with both structured warehouse data and unstructured operational data to create value for internal teams and external clients in the logistics sector.
💡 A Day in the Life
A typical day involves collaborating with data engineers on pipeline improvements, refining RAG models for warehouse documentation systems, meeting with business units to translate operational needs into AI features, and analyzing forklift sensor data to predict maintenance needs. You'll split time between model development, cross-team coordination, and solution deployment.
🚀 Application Tools
🎯 Who STILL Is Looking For
- Has 3+ years experience building end-to-end data applications, not just modeling
- Demonstrates hands-on experience with RAG implementation and scaling generative AI pilots
- Possesses experience with both structured (warehouse operations) and unstructured (maintenance logs, sensor data) data types
- Shows ability to collaborate across technical (data engineers, UX) and business teams in an industrial setting
📝 Tips for Applying to STILL
Highlight specific RAG projects you've deployed, not just experimented with
Showcase experience with industrial or logistics data (IoT, sensor data, operational metrics)
Demonstrate how you've scaled AI pilots to production in previous roles
Mention experience working with interdisciplinary teams including UX designers and business units
Quantify impact of previous data solutions on business outcomes, especially in industrial contexts
✉️ What to Emphasize in Your Cover Letter
['Your experience with RAG and agentic AI implementations in production environments', "How you've handled both structured and unstructured data in previous roles", 'Examples of collaborating with non-technical stakeholders in industrial/business settings', 'Your approach to scaling pilot projects into full features or products']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → STILL's specific intralogistics solutions and their electric forklift product lines
- → Industry challenges in warehouse automation and logistics optimization
- → STILL's sustainability initiatives and electric vehicle technology
- → Competitors in European intralogistics and how data/AI differentiates STILL
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Focusing only on academic ML without showing production deployment experience
- Not demonstrating specific RAG or agentic AI hands-on experience
- Presenting generic data science projects without industrial/business context
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!