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# Data Scientist (MLOps & Advanced Analytics)

- **Company:** Siemens Energy
- **Location:** Munich, ND, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, BigQuery, Cloud Engineering, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, Standard Sql, Azure Machine Learning, Software Engineering, SQL Databases, Feature Engineering, Large Language Models, Snowflake, Containerization, Infrastructure Automation Frameworks, Data Analytics, Data Management, Machine Learning Operations, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks
- **Published:** September 23, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2ufjzqld

## About the Role

* Expertise in cloud-based AI/ML platforms such as AWS SageMaker (or Azure ML/Vertex AI), with knowledge of Infrastructure as Code, CI/CD, and containerization technologies.
 * Strong Python and SQL skills, plus experience with modern cloud data platforms like Snowflake, Databricks, Redshift, Synapse, or BigQuery.
 * Proven ability to design and maintain scalable data pipelines, feature stores, and production-grade analytics solutions using software engineering best practices.
 * Hands-on experience developing and deploying machine learning, AI, forecasting, optimization, regression, classification, and time-series models in production environments.
 * Excellent problem-solving, communication, and stakeholder management skills, translating business needs into scalable technical solutions.
 * Ability to thrive in global, multidisciplinary teams with a passion for advancing AI and analytics capabilities while delivering measurable business value.

Who is Siemens Energy?

## Description

As a Data Scientist (MLOps & Advanced Analytics), you will be part of the Advanced Analytics & AI team within Digital Services at Siemens Energy Gas Services. You will work on challenging projects across the energy value chain, combining business insight, data science, artificial intelligence, and software engineering to develop scalable analytics and AI solutions that drive measurable business impact.

How You'll Make An Impact

 * Lead the design and delivery of advanced AI, machine learning, and analytics solutions across the business.
 * Develop and deploy production-grade ML, forecasting, and optimization models using cloud-native architectures.
 * Build and maintain scalable data science and MLOps platforms leveraging AWS SageMaker, Python, SQL, and Snowflake.
 * Create and operationalize LLM-powered applications, AI agents, and automation workflows to solve complex business challenges.
 * Perform end-to-end data science activities, including data preparation, feature engineering, analysis, and predictive modeling.
 * Implement MLOps best practices, monitor model performance, and communicate insights through dashboards, documentation, and stakeholder engagement.


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