Siemens
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr