TL;DR

Senior Data Scientist (AI/ML): Building and optimizing on-demand last-mile delivery operations at scale with an accent on creating fast, reliable, and transparent delivery experiences. Focus on innovating modeling solutions using Machine Learning, Operations Research, and Statistics to drive business value and automate prediction generation.

Location: Hybrid in Berlin, Germany (2 days a week in the office)

Company

%hirify_global% is the world’s pioneering local delivery platform, operating in over 70+ countries worldwide and headquartered in Berlin, Germany.

What you will do

Conceptualize and innovate modeling approaches for large-scale Logistics challenges, drawing from Machine Learning, Operations Research, and Statistics.
Engineer solutions with your squad to automate model retraining and prediction generation.
Define data needs and collaborate with data engineering and tech teams on roadmap planning.
Work with (semi-)structured data from BigQuery DWH architecture and process with Spark.

Requirements

At least 3 years of experience applying machine learning methods to real-world datasets.
Fluency in Python and familiarity with scientific/visualization libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Plotly.
Experience in solving regression and classification problems with statistical, linear/non-linear, and ensemble models (e.g., Random Forest, XGBoost, LightGBM, CatBoost).
Proficiency with Big Data platforms like BigQuery/Spark and SQL for data extraction.
Ability to write maintainable code following best practices in software engineering.

Nice to have

Experience with Time-Series Forecasting, Operations Research, and Statistics.

Culture & Benefits

Hybrid working model with 2 days a week in the Berlin campus.
Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy.
Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan.
€1.000 Educational Budget, Language Courses, Parental Support.
Digital Meal Vouchers, Food Vouchers, Online Canteen, Corporate Discounts.
Commitment to diversity and inclusion, with support for accommodations.