Data Scientist

Join Neptune Technology Group as a Data Scientist and contribute to our water utility intelligence platform. This onsite role in Duluth, GA centers on turning large-scale IoT data from water meters into actionable insights, collaborating with product, engineering, and analytics teammates to deploy data science solutions into production, and advancing predictive capabilities for water systems. You will work with the Neptune 360 platform and cloud-based data infrastructure, staying current with developments in machine learning and data science while growing your technical skills.

Responsibilities

• Collaborate with team members to develop and deploy machine learning models and data science solutions.
• Partner with Product Management to translate requirements into analytical approaches.
• Develop models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
• Analyze large-scale time-series data from IoT devices and water utility operations.
• Build data processing workflows using Python, SQL, and distributed computing frameworks.
• Conduct exploratory data analysis to uncover patterns, trends, and insights in utility data.
• Perform feature engineering and model experimentation to boost predictive performance.
• Create data visualizations and reports to communicate findings to stakeholders.
• Implement data quality checks and validation procedures for analytics pipelines.
• Collaborate with software engineers to integrate ML models into the Neptune 360 platform.
• Monitor model performance and contribute to the maintenance of production ML systems.
• Document analytical methodologies, code, and model implementations.
• Participate in code reviews and follow data science best practices.
• Work with cloud-based data infrastructure and ML tools, with AWS preferred.
• Stay current with advances in machine learning and data science techniques.
• Participate in sprint planning and demonstrate completed work at the end of each iteration.
• Support senior data scientists on complex analytical projects.
• Continuously develop technical skills through self-directed learning and training.

Requirements

• 3+ years of experience in data science, machine learning, or related analytical roles.
• 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn).
• Strong experience with SQL and relational databases.
• Experience building and evaluating machine learning models.
• Understanding of statistical analysis and experimental design principles.
• Experience with data visualization tools and techniques.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with version control systems (Git).
• Understanding of software development best practices.
• Ability to work in Agile or iterative development environments.
• Strong problem-solving skills and attention to detail.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Demonstrated ability to learn new technologies and tools quickly.
• Continued professional development through courses, certifications, or projects.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.