Head of Data Science
vor 1 Woche
**Company Description**
- Drive the development and deployment of impactful machine learning models that deliver business results.
- Work closely with Data Science Team Leads to oversee the development of various machine learning topics, ensuring resources are allocated effectively and projects stay on track.
- Provide technical expertise and guidance to team members, offering advice on modeling questions and making critical MLOps design choices.
- Motivate and inspire team members to reach their maximum potential, attracting and retaining top talent.
- Collaborate with stakeholders and partners in the tech department to identify and capitalize on business opportunities.
- Advocate best practices in processes, coding standards, and technologies within the data science department.
**Qualifications**
- Proven experience in managing teams or departments, with a focus on technical guidance and mentorship.
- Demonstrated track record of generating substantial business impact through successful development and deployment of machine learning models.
- Profound knowledge of predictive machine learning models, software engineering practices, and machine learning operations.
- Experience or quick adaptability to our tech stack, including Python, AWS services (Step Functions, Glue, Sagemaker & Sagemaker Python SDK, Redshift, etc.), Jenkins, Terraform, FastAPI and SQL.
- Strong business understanding and the ability to draw meaningful conclusions from A/B test experiments, providing relevant insights to stakeholders.
**Additional Information** Our offer**
- Our dynamic environment offers new challenges for personal growth and encourages the contribution of your own ideas.
- More than 100 different nationalities contribute to a truly international and diverse working environment.
- 30 days of vacation per year.
- Educational budget to support your continuous learning and development.
- Discounts at Autohero, our platform for high-quality used cars.
**Contact**
**Lina Antoniuk**
- 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_
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