Badger Meter is looking to develop and integrate data-driven solutions, including machine learning models and data pipelines, to optimize water delivery and usage, maximize revenue, and reduce waste.
Requirements
- Foundational knowledge of machine learning concepts, data analysis, and statistical modeling.
- Proficiency in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
- Experience with version control systems (e.g., Git) and basic software development practices.
- Experience with data engineering tools (e.g. pandas, polars, SQL) and cloud platforms (e.g. AWS, Azure)
- Experience with creating, tuning, deploying, and assessing machine learning algorithms
- Experience working with time series datasets and techniques, including feature extraction, anomaly detection, forecasting, and pattern recognition in temporal datasets. - preferred
- Familiarity with data acquisition and analysis from manufactured products, including IoT-enabled devices, embedded systems, or production line equipment- preferred
Responsibilities
- Assist with monitoring dashboards, product support/issue investigations, customer troubleshooting, etc.
- Assist with ingress and cleaning of data, conduits between data sources and our storage, development of our infrastructure
- Assist in design and implementation of solutions involving model creation and data pipelines
- Support development, testing, and validation of ML algorithms
- Collaborate with software engineers and systems engineers to integrate predictive models into production systems
- Develop tools and scripts for data preprocessing, model evaluation, and system diagnostics
- Participate in code reviews, documentation, and continuous integration/continuous deployment (CI/CD) processes.
Other
- 1-3 years experience required
- Bachelor’s Degree in Machine Learning, Data Science, Computer Science, Electrical Engineering, Systems Engineering, or related field
- Strong problem-solving skills and the ability to work collaboratively in a team environment.
- Demonstrated strong initiative and motivation- preferred
- Demonstrated ability to effectively solve problems- preferred
