As a Data Scientist you will be responsible for applying AI and machine learning techniques to create solutions that bring impact to the this role you will be developing and deploying AI solutions ensuring their performance and reliability through ongoing monitoring and promoting data-driven decision-making within the organization.
Your contribution to something big:
- AI solution ideation and development
- Identifying business problems and solving them by finding data and methods resulting in measurable business improvements (KPI tracking);
- Utilizing mathematical econometric statistical and deep learning models to develop predictive models for solving business relevant problems;
- Developing deploying and monitoring GenAI-based applications including experience with Agentic Frameworks (e.g. LangGraph LlamaIndex CrewAI or similar) and including the implementation of MLOps/LLMOps best practices.
- Communication and enabling
- Effectively communicating with various departments and roles about data-driven business decisions;
- Acting as a facilitator for the introduction and adoption of new AI and ML-based technologies;
- Supporting communication and awareness initiatives for different stakeholders at Electrified Motion (EM) divisional level to foster digital enablement and bridge digital skill gaps.
Qualifications :
What distinguishes you:
Education:
- Degree in Computer Science Statistics Engineering or related fields.
Experience:
- At least 2 years of relevant work experience in AI machine learning or data science roles;
- Experience managing software or IT projects;
- Experience with predictive modeling using mathematical statistical econometric and deep learning techniques.
Know-how
- Proficiency in Python programming and algorithm development/implementation;
- Knowledge of cloud infrastructure preferably Azure Databricks and MLOps/LLMOps.
Languages
- Proficient in English (written and spoken).
Working Style and Personality
- Strong communication skills to effectively engage with diverse teams and stakeholders;
- Ability to facilitate knowledge sharing and digital skill enablement across business units;
- Passionate about innovation and continuous learning.
Additional Information :
Work #LikeABosch means:
Flexible work conditions
Hybrid work system
Exchange with colleagues around the world
Health insurance and medical office on site
Training opportunities
Opportunities for career progression and continuous professional development
Access to great discounts in partnerships and Bosch products
Sports and health related activities
Great access to public transports
Free parking lot
Canteen
Success stories dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
Yes
Employment Type :
Full-time