Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
sennder is redefining road logistics as Europe’s leading digital freight forwarder. Its unified platform connects the company’s operations and data to make freight transportation smarter, faster, and more sustainable.
задачи
Develop and iterate on bid estimation algorithms and margin-optimization models for the dynamic pricing engine;
Build predictive models to forecast carrier behavior and market capacity;
Maintain and improve recommender systems supporting operational teams;
Explore and validate machine learning applications for freight routing, network optimization, and other logistics challenges;
Partner with Product Managers to translate operational pain points into ML hypotheses and prototypes;
Evaluate and integrate LLMs, traditional ML models, and heuristics into engineering workflows and internal products;
Deploy models through the internal ML infrastructure in collaboration with the Data & AI Platform team;
Provide feedback and contributions to global engineering standards;
Own the full project lifecycle from R&D and prototyping through production release and monitoring.
требования
5+ Years of hands-on experience in Data Science or Machine Learning Engineering;
Strong foundation in statistical analysis, hypothesis testing, and deep data exploration;
Working knowledge of machine learning approaches for regression and classification;
Experience deploying models to production environments;
Ability to write modular code and apply software engineering best practices;
Strong proficiency in Python, SQL, and Git;
Experience with cloud data warehouses such as Snowflake;
Experience using Jupyter Notebooks for data exploration;
Experience building interactive data apps or dashboards such as Streamlit and PowerBI;
Understanding of how to set up, evaluate, and use Large Language Models and related AI tools in production;
Ability to translate complex logistical problems into data-driven solutions;
Strong communication skills for collaboration with Product Managers, end-users, ML Engineers, Data Scientists, and Platform Engineers.
условия
Offices are available in Berlin, Barcelona, and Amsterdam;
Performance bonuses, referral rewards, or equity may be included in the compensation package;
Hybrid work environment;
Access to healthy snacks, focus zones, and social areas in the offices;
Well-being initiatives including the sennCare program and a partnership with nilo.