At SQUER, Data Science is not a research playground. It’s about owning real business problems end to end: from vague client questions to models that actually run in production and move KPIs. In this role, you work close to our clients, translate complex questions into analytical solutions, and help turn models into measurable impact in production environments.
* Own end-to-end use cases: Translate business problems into data science and machine learning solutions from problem framing to model validation and measurable business impact
* Build models that matter: Apply statistics, feature engineering, and modeling techniques to build robust and meaningful models with a clear focus on robustness, interpretability, and usefulness
* Make models production-ready: Support deployment, evaluation, monitoring, and drift detection. You care about what happens after the first release.
* Work closely with Engineers and Platform teams: Collaborate closely with Engineers and Platform teams to move models from experimentation into scalable, maintainable systems.
* Act as a trusted advisor: Advise clients, challenge assumptions, and adapt your approach depending on context and maturity
* Communicate with clarity: Explain insights, limitations, and results clearly to technical and non-technical stakeholders
* Applied Data Science experience: Hands-on experience building data science or ML solutions with real business relevance
* Strong analytical foundation: Solid knowledge of statistics, feature engineering, and model evaluation - and when not to use complex models.
* Production mindset: Experience or strong interest in deploying, monitoring, and maintaining models in production
* Collaboration skills: Proven ability to work effectively with engineering and platform teams
* Consulting experience: Experience in consulting or client-facing roles, or a clear ability to think pragmatically, ask the right questions, and adapt to context.
* Communication skills: Ability to communicate complex topics clearly and pragmatically
* Language skills: Very good English skills; German is a big advantage
Why You'll Love Working at SQUER:
* Ownership & Responsibility: at SQUER, we believe in empowering our team. In our flat hierarchies, your ideas and actions matter more than titles. Take the reins, make an impact and grow with us.
* Learn & Grow: Tap into a € 5.000 annual training budget to sharpen your skills and take advantage of our in‑house Leadership Academy. Join and be part of our active tech community through meetups, hackathons and training sessions. Get up to 40h/year additional time off for your personal education.
* Exciting Challenges & Real Impact: Dive into diverse projects where your work truly makes a difference – for our clients and for SQUER.
* Flexibility for Performance: Benefit from hybrid work options, flexible hours, workations within the EU, and additional vacation days – giving you the freedom to perform at your best.
* Tailored Tools for Success: Choose your preferred hardware configuration to suit your working style.
* We Value You: Beyond perks and benefits, we offer a competitive annual salary to recognize your exceptional contributions.
* Be Part of a Thriving Team Culture: At SQUER, collaboration and connection are at the heart of what we do. Through open communication, shared successes, and meaningful team events – including our annual SQUER offsite – we cultivate a culture where everyone feels valued and inspired to grow together.
* A Perks-Packed Workplace: Work in a central office near Ostbahnhof and enjoy meal vouchers, EGYM Wellpass membership, a free Deutschland-Ticket, JobRad, referral bonuses, Corporate Benefits, and Pluxee employee gifts for special occasions.
About us
We are dedicated to creating a supportive workplace where everyone can thrive and be proud to be part of the team. We encourage our colleagues to ask questions, try new things, pursue ongoing professional development, and take calculated risks. Are you ready to learn and collaborate in independent agile teams? We are looking forward to meeting you.
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