Data Scientist

Data Scientist - Freelance/Contract - Remote based

• 3 months initial contract
• Remote based with 2 days a month travel to Berlin
• Must be able to start in January
• Strong daily/hourly rates available

We are working with a leading Berlin based technology company who looking for a very strong freelance/contract Data Scientist.

Data Scientist - What you’ll do

Own data science at the core of business steering

• Bring together currently isolated ML models into a unified decision layer that drives budget allocation and conversion optimization—delivering measurable, multi-million-euro impact on the bottom line.

Build and ship AI agents

• Design, deploy, and operate production-grade LLM agents that enhance customer experience across sales and operations, with strong human-in-the-loop controls and continuous improvement.

Predict and prioritize lead quality

• Develop and calibrate models that combine likelihood-to-book with expected order value to inform lead routing, prioritization, and decision thresholds across the funnel.

Run deep conversion and funnel analyses

• Quantify what truly drives conversion, disentangling marketing effects from operational performance using rigorous statistical and causal methods.

Ensure model reliability and stability

• Deliver well-documented, production-ready models with calibration, drift and anomaly detection, and change controls that protect core business metrics.

Own broadly and move fast

• Take end-to-end ownership across a wide range of modeling approaches and use cases, prioritizing speed, impact, and pragmatic decision-making.

Data Scientist - What you need to be successful

Strong statistical foundation

• Deep knowledge of statistics, including ensemble methods, linear and logistic models, time-series and seasonality, and causal inference.

Advanced experimentation skills

• Experience designing and analyzing online experiments beyond basic A/B tests—sequential testing, variance reduction, guardrails, and robust metric design.

Applied agentic AI experience

• Hands-on experience building LLM-based systems (e.g., RAG pipelines, agent workflows) and integrating them into production environments with monitoring and iteration.

Production-grade Python skills

• Proficiency in building and maintaining modeling pipelines using tools like pandas, scikit-learn, and statsmodels, with clean, testable code and monitoring for calibration and drift.

Solid SQL knowledge

• Comfortable writing SQL to extract, join, and transform data for analysis and modeling.

End-to-end ownership mindset

• A proven track record of owning the full lifecycle of DS/ML products—from problem framing and model design through deployment and long-term monitoring—in real production systems.