Senior Data Scientist - Duluth, GA

Only for registered members Duluth, GA, United States

8 hours ago

$140,000 - $220,000 (USD) per year *

* This salary range is an estimation made by beBee

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 ...

Job description

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.

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
Leak 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.

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