Data Scientist

Beschreibung:

Data Scientist
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!
In this role you will work a hybrid role model.
Hands-on role focused on data preparation, model development, evaluation, and basic deployment. Suitable for someone with a solid foundation in statistics and programming (0-3 years, bachelor's degree).
Responsibilities
* Data preparation
* Ingest, clean, and transform data from multiple sources
* Feature engineering and data quality checks
* Build simple ETL/ELT pipelines
* Analytics and modeling
* Develop and evaluate machine learning and AI models (baseline and advanced)
* Feature selection, model validation, and performance monitoring
* Design and run experiments (A/B tests, uplift analyses)
* Deployment support
* Aid in packaging and basic deployment
* Version control, reproducibility, and basic model monitoring
* Produce machine-readable outputs and dashboards
* Agentic AI (theoretical knowledge)
* Understand Agentic AI concepts (agency, autonomous agents, goals, alignment, safety)
* Consider implications of agentic components in DS projects

Required Qualifications
* Bachelor's degree in Data Science, CS, Statistics, Mathematics, Engineering, or other from an accredited university
* Experience: 0-3 years (internships, capstones, projects count)
* Programming and data manipulation
* Python (pandas, numpy, scikit-learn; pipelines)
* SQL
* Data wrangling and cleaning
* Statistics and machine learning fundamentals
* Descriptive stats, probability, hypothesis testing
* Supervised and unsupervised learning; evaluation metrics
* ML tools and libraries
* scikit-learn (pipelines, cross-validation, hyperparameters)
* Optional: TensorFlow/Keras or PyTorch
* Data visualization and reporting
* Basic visuals with matplotlib/seaborn
* Dashboards/BI tools a plus (Tableau, Power BI)
Preferred Qualifications
* End-to-end DS projects (data collection to insights and dashboards)
* Experience in product/business contexts
* Spark for large-scale data wrangling
* ML deployment basics (Docker, MLflow)
* Data engineering and tooling
* ETL/ELT concepts; data pipelines
* Basic cloud familiarity (AWS, GCP, or Azure) and data services
About Siemens:
We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resourceefficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

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