Requirements

Applied Machine Learning Mastery: You have significant experience (ideally 3+ years) designing and implementing diverse machine learning models (e.g., regression, classification, tree-based ensembles) to solve real-world business problems, backed by a strong theoretical foundation in statistics and probability.
Production ML Engineering: You possess expert-level Python skills (incl. pandas, scikit-learn, etc.), proficiency in SQL, and demonstrable experience building robust, maintainable, and automated ML pipelines using Big Data technologies (e.g., BigQuery, Spark) and workflow orchestration tools (e.g., Airflow, Metaflow), applying software engineering best practices.
Problem Translation & Critical Thinking: You excel at translating ambiguous business requirements into well-defined technical problems and data science solutions, critically evaluating assumptions and ensuring data quality throughout the process.
Communication & Influence: You are a strong communicator, capable of clearly explaining complex technical concepts, model intuition, and business implications to diverse audiences (both technical and non-technical stakeholders).
Collaboration & Team Orientation: You are a proactive team player with proven experience collaborating effectively with peers and cross-functional teams (like Data Engineering and Tech) in a fast-paced, dynamic environment. Fluency in English is required.

Nice to have

Operations Research (OR) Expertise: Deeper experience applying Operations Research techniques to solve optimization problems relevant to logistics.
Advanced Experimentation & Causal Inference: Proven track record in designing, implementing, and analyzing complex experiments (beyond standard A/B tests) or applying causal inference methods.
Data Application/Dashboarding Skills: Experience building interactive data visualizations, applications, or dashboards using libraries like Streamlit, Plotly Dash, or similar tools to communicate results effectively.

Design & Innovate: Lead the conceptualization and design of advanced modeling solutions (using a mix of ML, Statistics and Math) to tackle complex, large-scale Logistics challenges, ensuring alignment with business value and stakeholder needs.
Build & Automate: Take ownership of developing, implementing and automating robust data science models and pipelines, including feature generation, retraining, and prediction deployment, leveraging tools like BigQuery and Spark as needed.
Solve & Collaborate: Actively drive technical discussions and problem-solving sessions, contributing significant expertise and innovative ideas to overcome the toughest modeling hurdles alongside your Data Science peers and squad lead.
Drive Business Impact: Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics.
Shape Data Strategy: Proactively engage with Data & ML Engineering and Tech teams to define critical data requirements and influence technical roadmaps, ensuring the necessary data infrastructure for impactful projects.
Contribute & Elevate: Make a significant impact within our fast-paced, global organization by delivering high-quality solutions, sharing knowledge, and contributing to the team's overall growth and best practices.

Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation & Gym.
Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers and Food Vouchers.