DATA SCIENTIST

Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.
Our portfolio comprises services driven by expertise and the latest technology – with a strong focus on innovation and digitalization in areas like business administration, human resources, supply chain management, sales, marketing, and engineering.
GBS  Digital Solutions  offer innovative technology solutions and customer-oriented digitalization services and co-develop digital solutions to solve our customers business challenges, leveraging our modern technology layer and partner ecosystem.
We consult them with our holistic, 360° digital advisory service, encompassing the data-driven discovery of digitalization potential along their business processes Are you a forward-thinking, high-energy, dynamic driver who wants to get directly involved in the daily business with our international teams and work on your own abilities and manage responsibility? Your new role – challenging and future-oriented You identify and understand customer challenges and collaborate with cross-functional teams to translate them into business opportunities focusing on AI solutions.
You implement and deploy AI solutions, apply, develop and work with different GenAI models.
You analyze the results to extract actionable insights and recommendations.
You work with large, complex data sets and apply advanced analytical methods as needed.
You conduct exploratory data analysis to understand the structure and characteristics of the data.
You work with different teams to integrate solutions into business processes and workflows.
You interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way.
You actively and proactively perform market/trend scouting to stay up to date with the latest trends, tools, and techniques.
You foster a culture of continuous learning and development.
Your qualifications – solid and appropriate You have a Bachelor’s degree in a quantitative discipline (e.
., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field.
You have at least 3 years experience in advanced data analytics/data science working with AI/ML or NLP.
You are skilled in applying algorithmic models and are well acquainted with the properties and limits of state-of-the-art models.
You have experience in validating the model results against the stated business objectives.
You are experienced in Python Development You are experienced in GenAI or NLP developments and preferably working with Langchain.
You have experience on AWS or Azure and on cloud technologies like AWS Sagemaker You have experience in Agile software development methodologies.
You have a strong mindset on the team results and achievements and the ability to translate business requirements into actionable analytics initiatives.
You are hands-on, proactive and have an entrepreneurial mindset.
You are fluent in English (mandatory)   Transform the Everyday for a better tomorrow.
At  Global Business Services  (GBS), we shape the Shared Services landscape of the future by supporting companies in all sectors worldwide.
When it comes to providing valuable and outstanding solutions tailored to customer’s needs, we are the Partner of Choice.
Our mission is to seamlessly integrate, digitalize and optimize business processes in areas such as Finance, Human Resources, Supply Chain Management and many more.
To do so, we need you who drive innovation and forge new and sustainable paths for our clients.
We offer the opportunity to work in an international network that fosters flexible mobile working while focusing on customer outcomes.
At Siemens, you will find the trust and freedom to excel.
Let's grow together, to improve how people live, work, make and move.
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace.
All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state, or local law.