Senior Data Scientist

SOLTECH; Duluth (GA); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

A leading technology consultancy is seeking a Senior Data Scientist in Duluth, Georgia, to lead the design and deployment of advanced machine learning solutions. This high-impact role involves transforming large-scale IoT data into predictive insights, enhancing operational efficiency and sustainability. Candidates should have over 5 years of experience in data science and proficiency in Python, SQL, and cloud services, especially AWS. The position offers a hybrid work environment and encourages continuous professional development.

Qualifications

• 5+ years of experience in data science, machine learning, or advanced analytics roles.
• Strong SQL expertise and experience working with large-scale databases.
• Experience with AWS cloud services, including SageMaker and Lambda.

Responsibilities

• Design and implement models for water consumption forecasting.
• Develop and deploy production-ready ML pipelines in AWS cloud environments.
• Analyze and model large-scale time-series IoT data from water utility operations.
• Mentor junior data scientists and conduct peer code and model reviews.

Skills

Machine learning

Cloud-based data platforms

Python

SQL

AI production systems

Education

Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics

Tools

pandas

NumPy

scikit-learn

TensorFlow

PyTorch

AWS

PySpark

Job description

Our client is seeking a Senior Data Scientist to lead the design and deployment of advanced machine learning solutions that power a next-generation water utility intelligence platform. This high-impact role focuses on transforming large-scale IoT data from millions of smart water meters into predictive insights that drive operational efficiency, water conservation, and enhanced customer service.

The ideal candidate brings deep expertise in machine learning, cloud-based data platforms, and production-grade AI systems. You will partner closely with Product Management and Engineering to translate business objectives into scalable data science solutions while helping shape our client’s long-term AI strategy.

This role requires a hybrid work schedule in the client's Duluth, Georgia offices.

Key Responsibilities

• Communicate complex technical decisions, model designs, and analytical outcomes clearly to stakeholders across the organization
• Collaborate cross-functionally to deliver high-quality, scalable machine learning solutions
• Refine and enhance AI feature requirements in partnership with Product Management
• Design and implement models for:
• Water consumption forecasting
• Anomaly detection
• Predictive maintenance
• Develop and deploy production-ready ML pipelines in AWS cloud environments
• Analyze and model large-scale time-series IoT data from water utility operations
• Build and optimize distributed data processing workflows using PySpark
• Perform exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights
• Conduct feature engineering, model selection, and hyperparameter tuning to optimize predictive performance
• Evaluate, monitor, and maintain production ML systems using MLOps best practices
• Partner with software engineers to integrate ML models into a cloud-based utility platform
• Provide technical guidance on data science feasibility and AI capabilities
• Document methodologies, model architectures, and findings for knowledge sharing
• Stay current on advancements in machine learning, AI, generative AI, and data science innovation
• Mentor junior data scientists and conduct peer code and model reviews
• Participate in Agile sprint planning and iteration demos
• Contribute to enterprise AI strategy and identify new data-driven innovation opportunities

Required Experience & Technical Expertise

• 5+ years of experience in data science, machine learning, or advanced analytics roles
• 5+ years of hands‑on Python experience, including pandas, NumPy, scikit‑learn, TensorFlow, and/or PyTorch
• Strong SQL expertise and experience working with large-scale databases (Redshift, PostgreSQL, MySQL)
• Experience with PySpark and distributed computing frameworks for large-scale data processing
• Proficiency working with common data formats such as JSON and Parquet
• Demonstrated success deploying machine learning models into production environments
• Experience with AWS cloud services, including SageMaker, Bedrock, Lambda, S3, and Redshift
• Expertise in time-series analysis and forecasting techniques
• Solid understanding of MLOps, model lifecycle management, and monitoring
• Experience building RESTful APIs for model serving
• Strong statistical analysis and experimental design capabilities
• Experience creating data visualizations and analytics dashboards
• Familiarity with Git, version control, and CI/CD pipelines
• Experience working in Agile development environments
• Ability to communicate complex technical concepts to non-technical audiences
• Commitment to continuous learning and professional development

Preferred Qualifications

• Experience with AWS big data services such as Glue, EMR, and Athena
• Background working with IoT data, utility operations, or water management systems
• Experience with generative AI and large language models (LLMs)

Education

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• Bachelor’s degree with equivalent advanced experience will also be considered

This is an opportunity to directly impact utility operations and sustainability initiatives through innovative AI and machine learning solutions. If you’re passionate about transforming large-scale IoT data into meaningful insights that drive efficiency and conservation, this role offers the platform to make a measurable difference.