Data Scientist - f/m/x – (IRO 75k€ for Mid/Snr, flexibility based on seniority)

Permanent employee, Full-time · Remote, Berlin

75,000 € per year

Your mission

Remote EU/Hybrid in Berlin – SaaS

You enjoy working at the intersection of Data Science and Back End Engineering. You are accustomed to working in the realms of time series prediction and forecasting with a deep appreciation of data analysis and what it means to the business. BUT you are no stranger to Python, Django and Rest APIs.

What You’ll Be Working On

Reporting directly to the CTO you’ll join a small but growing founding team of 5, consisting of mostly senior engineers across BE/FE and full stack. You’ll become the expert on our Data Engine and the PartsOS platform in general.

Data science meets engineering: Implement algorithms for our planning and optimization engine and ensure data flows cleanly with robust ETL pipelines
Clean code, clean data: Import, validate, and transform data efficiently to support forecasting and inventory logic
Ship fast, sleep well: Contribute to our CI/CD pipeline, write meaningful unit and integration tests, and help deploy backend and frontend services with confidence
Own your work: Take initiative, work across the stack when needed, and own features end-to-end in a lean, ambitious team

Who We’re Looking For

You have several years' experience working in either a Data Science or Analysis position
Proficient with the Python ecosystem (Django, DRF, data)
You are comfortable experimenting with data using notebooks and extracting business insights
You have experience in time series prediction & optimization (Can be at work/from studies or private)
We are remote first but collaborative, if you prefer working silo’d & alone we’re probably not for you
Entrepreneurial and iterative mindset

Nice to have

Startup or freelance experience
Background in e-commerce, logistics, or finance platforms
Experience or interest in Operational Research optimization techniques (like Simplex)
Ideally you have experience with large platforms, systems or distributed architectures
Some frontend skills (e.g. reviewing PRs, understanding UI flow)
Experience with ML/AI for forecasting or planning systems
If you’ve already worked with workflow orchestration systems it would be beneficial

Not Quite Your Thing?

We understand that every position isn't suited for everyone. This job might not be satisfying for those who prefer to work mostly on their own or need a clear, fixed plan to follow from the beginning. If you're more comfortable with a structured and predictable environment, you might find this position less rewarding.

The Tools You’ll Be Using

Python (Django, DRF, Pandas)/Postgresql/Temporal/Vue.js/Docker/Linux servers

Why You’ll Love This Role

Your work will result in impact, you will see how you’re moving the needle from a product and growth perspective
A well-funded and fast-growing start-up with a disruptive product digitizing a traditional industry
Remote or hybrid in Berlin with a collaborative start-up culture
Great package including VSOP & Unlimited holiday allowance within reason)
Allowance for personal development (Training/Conferences etc)
Support in co working space if you’re feeling a touch of cabin fever (location dependant)

Ready to Be Part of Something Big?

Apply here, everyone will get a response

See our website here: https://partscloud.com/

Or follow us on Linkedin here: Linkedin Page

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About us

At PartsCloud, we’re transforming the way service and spare parts teams operate with our innovative, cloud-based software, PartsOS. By streamlining inventory management and fulfillment for industrial spare parts, we help businesses meet the challenges of unpredictable demand, reduce excess inventory, and improve service delivery. Join us at PartsCloud and be part of a solution that’s future-proofing businesses in a rapidly evolving market!

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YOUR APPLICATION

We appreciate your interest in PartsCloud! Please fill in the form below to apply. If you have any difficulties uploading your files, feel free to contact us at grow@partscloud.de.