Data Scientist - Machine Learning/ Generative AIAbout the RoleLocation: Lisbon, PortugalRemote vs. Office: Hybrid (Remote/Office)Company: Siemens Energy Unipessoal Lda.Organization: Grid TechnologiesBusiness Unit: Product ManagementFull-timeExperience Level: Experienced ProfessionalA Snapshot of Your Day: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 multi-functional teams & external partners, consulting domain experts, and applying sophisticated data science techniques to solve real-world problems.Your work will contribute to process improvement, cost reduction, and support Siemens Energy in its mission to innovate and lead in the energy sector.How You’ll Make an Impact:Design, implement, and evaluate large-scale language models and generative AI use cases.Work with data engineers to build cases and determine the most suitable solution for business partners' processes.Optimize the performance, scalability, and reliability of language, vision models, and generative AI systems.Share the outcomes and findings of machine learning experiments and projects with collaborators and customers.Regularly validate and develop further AI solutions based on customer/user feedback.Encourage information exchange, provide assistance during training, and promote awareness to support the implementation of AI/ML across the R&D teams.Stay up to date on the latest developments in data science, AI/ML principles, and theories to help the business make truly data-driven decisions.What You Bring:Must have:Master's degree or PhD in computer science, machine learning, natural language processing, or related fields, or equivalent experience.Proven analytical skills and expertise in data science with a focus on Generative AI, LLMs, NLP, and other AI methods.Passion for AI, data, and analytics.Strong proficiency in programming languages such as Python, good knowledge in statistical modeling, and experience in deployment and cloud computing.Interest in business processes and technical challenges to derive optimization potential.Deep knowledge in at least one machine learning environment (SageMaker, AI Studio, WatsonX, or comparable).Willingness to travel with a focus on central Europe (~25%).Proficient command of the English language.Excellent problem-solving, analytical, and communication skills.Agility and excellent organizational/planning skills to manage multiple sophisticated projects.Nice to have:Knowledge of Snowflake SQL Scripting, Alteryx, SnapLogic.Knowledge in building end-to-end data pipelines.About the Team:Basic research is a key driver for innovation within Grid Technologies. We drive our own innovation campaigns, collaborate with internal and external partners, and directly support product development with profound technological expertise.As part of this process, we construct and accumulate a substantial amount of data that necessitates careful examination. In the years ahead, we will delve deeper into the opportunities presented by process digitalization, Machine Learning, and generative AI.Therefore, we need high-quality, validated data available in the right format & structure, to further evaluate them.Who is Siemens Energy?With 98,000 employees across 90+ countries, Siemens Energy develops energy systems for the future. Our technologies drive the energy transition and generate 1/6 of the world's electricity.We have a distributed team that is determined to make balanced, reliable, and affordable energy a reality by pushing the boundaries of what is possible. With a 150-year legacy of innovation, we seek individuals who will contribute to our focus on decarbonization, new technologies, and energy transformation.Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.Benefits:Join a globally leading company in the energy market with a vision for decarbonization and dedication to the energy transition.Career growth and development opportunities, including international opportunities within the business unit or wider organization.Specific and dedicated training.Company-paid health and wellness benefits.Pension fund available with advantages offered by the company.Medical center available on campus for all employees.Canteen with a variety of healthy offers.Flexible working model (home office).5 extra days (
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