- Contribute to building a robust model library and pricing platform that drives measurable business impact and ensures long-term scalability
- Translate business needs into machine learning solutions that bring positive business impact
- Partner with engineering and product teams to deploy Data Science services and embed them in the Auto1 tech infrastructure
- Monitor model performance in production share results with stakeholders and develop actionable next steps
- Identify business opportunities and collaborate with stakeholders and partners in tech to drive growth
- Set priorities and support junior members to achieve project goals
Qualifications :
- Hands-on experience with a broad range of machine learning techniques and the ability to select and adapt the most appropriate approach for complex real-world scenarios
- Experience with pricing models and pytorch would be considered an advantage
- Proficiency in SQL and Python with coding best practices and code reviews in git/github
- Experience in deployment in AWS/Azure/Google Cloud and CI/CD pipeline tools
- Proficiency in the full lifecycle of data science projects including initializing/designing developing (building the model) and deploying models in production (full stack)
- Strong communication skills to effectively present findings in a clear and unambiguous way
Additional Information :
- Possibility to work remotely either partially or on a full-time basis
- International team with flat hierarchies and open communication
- Educational budget to support your continuous learning and development
- Regular knowledge sharing session within team on various topics
- Exciting team events every quarter
- Discounts at Autohero our platform for high-quality used cars
Contact
Marija Dimitrova
At AUTO1 Group we live an open culture believe in direct communication and value diversity. We welcome every applicant; regardless of gender ethnic origin religion age sexual identity disability or any other non-merit factor.
#LI-A1
Remote Work :
Yes
Employment Type :
Full-time