Braga, Braga, Portugal
1 day ago
Data Scientist (f/m/div.)

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market. 

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

Your contribution to something big:

At BOSCH, we are committed to advancing mobility procurement through innovative data intelligence solutions. As
we grow our team, we are looking for a passionate and skilled Data Scientist to join us in shaping the future of our
data-backed procurement strategies.
As the first hire in a dynamic and growing team, you'll have the unique opportunity to shape your role and influence our growth from the ground up. We're looking for someone who thrives in a dynamic environment, embraces change with a positive, can-do attitude and demonstrates a strong sense of ownership.

Key Responsibilities:
Strategic Contribution: Collaborate with leadership to define and execute our vision for enhancing mobility procurement through data intelligence.

Use Case Development:

Based on business needs and impact, you scout and prioritize advanced analytical use cases - beyond reports & dashboards;You rely on already curated data assets, paired with externally procured data to implement proof of concepts and early-series applications on Azure;you initially operate these solutions and later hand them over to a dedicated team for industrialization & operations.

Cross-Functional Collaboration:
Work closely with internal partners across various procurement domains (strategic purchasing, project purchasing, purchasing quality) to ensure user-centric solutions that meet diverse needs.

Qualifications

What distinguishes you:

Education: Master's degree in computer science, information systems or a related field with relevant specializations or comparable experience.
Technical Expertise:

5+ years of working proficiency with databases/platforms and corresponding tooling (SQL, Python + libraries);3+ years of working experience in data intensive cloud environments (preferably Azure Databricks) and the implementation of analytical use cases (infrastructure, data transformation and analysis & statistical modeling/ML, Presentation);3+ years of experience, applying ML/statistical modeling approaches to real-world use cases.

Procurement Knowledge: Experience or strong interest in global procurement processes and appreciation of
relevant business problems and solutions.
Lifecycle Engagement: Willingness to engage throughout the entire data lifecycle, from understanding customer
demands to implementation and rollout.
Continuous Learning: Stay up-to date with recent advancements in the data & ML/AI field and relevant (open source) software and leverage a extensive training offering.
Hands-On Experience: Experience with ML/GenAI (ML-Ops, RAG) and respective cloud infrastructure (Databricks, Azure ML, self-hosted LLMs, Networking, ...) is a strong plus.

Additional Information

Work #LikeABosch includes:

⚖️ Flexible work conditions

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