Senior Data Scientist (Automotive)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Scientist (ML/Automotive): Developing and deploying scalable machine learning models for vehicle selling and demand management with an accent on dynamic pricing, personalized recommendations, and demand forecasting. Focus on building end-to-end ML pipelines, optimizing production model performance, and mentoring junior team members.
Location: Berlin, Germany. Possibility to work remotely, either partially or on a full-time basis.
Company
Group is Europe's leading digital automotive platform, revolutionizing the used car market through brands like Autohero, wirkaufendeinauto.de, and .com.
What you will do
- Lead the design, development, and deployment of scalable machine learning models to optimize vehicle selling and demand management.
- Collaborate with stakeholders to translate complex business requirements into growth-driving ML solutions.
- Work with engineering and product teams to embed Data Science services into the company's tech infrastructure.
- Monitor and improve model performance in production and communicate actionable results to stakeholders.
- Mentor junior data scientists and define technical direction and best practices.
Requirements
- 2-3+ years of hands-on experience with traditional ML and neural networks applied to real-world business scenarios.
- Strong background in statistical modeling, hypothesis testing, and A/B testing.
- Expertise in Python, SQL, and frameworks such as PyTorch, Keras, or TensorFlow.
- Proven track record of managing the full DS lifecycle, including cloud platforms (AWS, Azure, GCP) and CI/CD pipelines.
- English: Fluency required for effective collaboration in an international team.
- Location: Must be based in or associated with Germany.
Culture & Benefits
- Flexible work arrangement with options for partial or full-time remote work.
- International team environment with flat hierarchies and open communication.
- Educational budget to support continuous professional learning and development.
- Regular internal knowledge-sharing sessions on diverse technical topics.
- Employee discounts at Autohero.
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