Production ML Data Scientist for Water IoT & Forecasting

Neptune; Duluth (GA); On-site; USD 110,000 - 155,000; Full time

Job summary

Neptune is seeking a Data Scientist to develop and deploy ML models for a water utility intelligence platform. You will analyze IoT data from water meters, build predictive models, and collaborate with engineers and Product Management to translate business needs into actionable AI capabilities.

Responsibilities include feature engineering, model evaluation, producing data visualizations, and integrating models into the Neptune 360 platform in production environments.

Qualifications

• 3+ years of data science/machine learning experience.
• 3+ years of Python and data science libraries (pandas, NumPy, scikit-learn).
• Strong SQL and relational database skills.

Responsibilities

• Develop and deploy ML models and data science solutions.
• Translate requirements into analytical approaches with Product Management.
• Build forecasting, anomaly, leak, and predictive maintenance models.

Skills

Python

SQL

Pandas

NumPy

scikit-learn

Time-series analysis

AWS

Spark / PySpark

Cloud platforms

Education

Bachelor's or Master's degree in Data Science/CS/Statistics/Math

Tools

Git

PySpark

TensorFlow

PyTorch

AWS SageMaker

S3

Redshift

Job description

Neptune is seeking a Data Scientist to develop and deploy ML models for a water utility intelligence platform. You will analyze IoT data from water meters, build predictive models, and collaborate with engineers and Product Management to translate business needs into actionable AI capabilities.

Responsibilities include feature engineering, model evaluation, producing data visualizations, and integrating models into the Neptune 360 platform in production environments.