Data Scientist - Machine Learning / Generative AI, Amadora Amadora

Data Scientist - Machine Learning / Generative AI, Amadora
Amadora
Amadora, Lisboa, Portugal

Data Scientist - Machine Learning / Generative AI

About the Role

As a Data Scientist, you'll dive into large datasets to uncover insights that drive significant improvements in our R&D processes. You will focus on Machine Learning and Generative AI to drive the implementation of AI use cases. You'll spend your day collaborating with
- functional teams & external partners, consult domain experts and apply advanced data science techniques to solve
- world problems.

Your work will enhance process quality, reduce costs, and increase efficiency, directly impacting Siemens Energy’s mission to innovate and lead in the energy sector.

A Snapshot of Your Day

1. Design, implement, and evaluate
   - scale language models and generative AI use cases.
2. Consult business partners in cooperation with data engineers to create business cases & find the best possible solution for their processes.
3. Optimize the performance, scalability, and reliability of language, vision models and generative AI systems.
4. Communicate the results and insights of machine learning experiments and projects to stakeholders and clients.
5. Regularly validate and develop further AI solutions based on customer/user feedback.
6. Drive the
   - out of AI/ML across the R&D teams through knowledge sharing, supporting trainings and raising awareness.
7. Stay up to date on latest developments in data science, AI/ML principles and theories to help the business make truly
   - driven decisions.

What You Bring

Must have:

1. Master's degree or Ph
   D in computer science, machine learning, natural language processing, or related fields.
2. Proven analytical skills and profound expertise in data science with focus on Generative AI, LLMs, NLP and other artificial intelligence methods.
3. Passion for AI, data and analytics.
4. Strong proficiency in programming languages such as Python, good knowledge in the application of statistical modelling as well as experience in deployment and cloud computing.
5. Interest in dealing with business processes and technical challenges in order to derive optimization potential.
6. Deep knowledge in at least one Machine learning environment (Sage
   Maker, AI Studio, Watson
   X or comparable).
7. Willingness to travel with focus central Europe (~25%).
8. Fluent English skills.
9. Excellent
   - solving, analytical, and communication skills.
10. Agile mindset and organizational/planning skills with the ability to work in multiple complex projects.

Nice to have:

1. Experience in applying Gen AI & ML applications in an industrial b2b environment.
2. German language skills.
3. Experience in applying Gen
   AI at scale.