Siemens is looking to hire a Data Scientist to extract insights from large datasets, develop predictive models, and contribute to data-driven decision-making processes to drive business value and decisions from large data models.
Requirements
- Experience working with cloud platforms, such as AWS, Azure, Snowflake.
- Experience with machine learning frameworks (e.g., TensorFlow, SageMaker, AzureML)
- Experience working with real-time data integration techniques and tools, such as Model Context Protocol (MCP), APIs, Kafka.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Proven experience working with relational databases such as SQL, Postgres
- Proficiency in programming languages such as Python and/or R
- Experience working with Manufacturing datasets and industrial protocols (OPC-UA, MQTT)
Responsibilities
- Collecting, cleaning, and preprocessing large datasets from various sources.
- Developing and implementing machine learning models and algorithms to solve complex business problems.
- Performing exploratory data analysis to identify trends, patterns, and anomalies.
- Collaborating with stakeholders to understand business requirements and translate them into data-driven solutions.
- Communicating findings and insights through data visualization and reports.
- Staying up to date with the latest industry trends and advancements in data science and machine learning.
Other
- Bachelor’s or Graduate degree in Computer Science, Information Technology, or a related field.
- At least three years’ experience working as a data engineer, data architect, or related roles.
- Legally authorized to work in the United States on a continual and permanent basis without company sponsorship.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
