{"schemaVersion":"jobsearcher.job.v1","id":"7ad4c368552f618fb7bc9122","url":"https://jobsearcher.com/jobs/7ad4c368552f618fb7bc9122","canonicalUrl":"https://jobsearcher.com/jobs/7ad4c368552f618fb7bc9122","title":"Data Scientist","description":"Role is onsite in Duluth, Georgia.No third-parties will be considered.Our client is seeking a Data Scientist to help power an innovative water utility intelligence platform. In this role, you’ll design and deploy machine learning models and advanced analytics solutions that transform large-scale IoT water meter data into actionable insights. You’ll work cross-functionally with product, engineering, and analytics teams to bring predictive models into production and drive measurable impact in water conservation, infrastructure optimization, and operational efficiency.This is an exciting opportunity to expand your expertise in production-grade machine learning, cloud technologies, time-series analytics, and scalable data engineering while contributing to sustainability-focused technology initiatives.What You’ll DoDesign, develop, deploy, and maintain machine learning models and scalable data science solutionsPartner with Product Management and Engineering teams to translate business requirements into analytical strategies and ML capabilitiesBuild predictive models for:Water consumption forecastingLeak detectionAnomaly detectionPredictive maintenanceAnalyze large-scale, time-series IoT data from smart water meters and utility systemsDevelop and optimize data pipelines using Python, SQL, and distributed computing frameworksPerform exploratory data analysis (EDA) to identify trends, patterns, and operational insightsConduct feature engineering, model experimentation, validation, and performance tuningCreate dashboards, visualizations, and reports to communicate insights to technical and non-technical stakeholdersImplement data quality checks, validation processes, and monitoring workflowsCollaborate with software engineers to integrate ML models into the Neptune 360 platformMonitor and support production machine learning systems for reliability and performanceDocument methodologies, codebases, and model development processesParticipate in code reviews and uphold software engineering and data science best practicesWork within cloud-based infrastructure environments, primarily AWSStay current on emerging ML techniques, tools, and industry trendsParticipate in Agile sprint planning, standups, and iteration reviewsSupport senior data scientists on advanced analytical initiativesContinuously grow technical expertise through certifications, training, and hands-on learningRequired Qualifications3+ years of experience in Data Science, Machine Learning, or a related analytical field3+ years of hands-on Python experience using libraries such as pandas, NumPy, and scikit-learnStrong SQL skills and experience working with relational databasesProven experience building, evaluating, validating, and deploying machine learning modelsSolid understanding of statistics, hypothesis testing, and experimental designExperience with data visualization and storytelling best practicesFamiliarity with cloud platforms such as AWS, Azure, or GCPExperience using Git and version control workflowsUnderstanding of software development lifecycle (SDLC) and engineering best practicesExperience working in Agile or iterative development environmentsStrong analytical thinking, problem-solving ability, and attention to detailExcellent communication skills with the ability to explain technical concepts to diverse audiencesDemonstrated ability to learn new technologies quickly in a fast-paced environmentPreferred QualificationsExperience with PySpark or distributed computing frameworksExperience with time-series analysis and forecasting modelsHands-on experience with AWS services such as SageMaker, Lambda, S3, and RedshiftExperience with deep learning frameworks such as TensorFlow or PyTorchExperience deploying machine learning models into production environmentsBackground working with IoT data, smart devices, or utility operationsEducationBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field — or equivalent practical experience.Why This Opportunity?Work on cutting-edge IoT and machine learning solutionsContribute to sustainability and water conservation initiativesGain hands-on experience with production ML systems and cloud technologiesCollaborate with high-performing cross-functional teamsOpportunity for growth, mentorship, and continued technical development#DataScientist #MachineLearning #Python #AWS #IoT #DataScienceJobs #MLOps #PredictiveAnalytics #TimeSeries #Utilities #CloudComputing #AIJobs #WaterTech #Sustainability #Hiring","company":"Soltech","rawCompany":"soltech","city":"Duluth","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T18:55:45.148Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Role is onsite in Duluth, Georgia.No third-parties will be considered.Our client is seeking a Data Scientist to help power an innovative water utility intelligence platform. In this role, you’ll design and deploy machine learning models and advanced analytics solutions that transform large-scale IoT water meter data into actionable insights. You’ll work cross-functionally with product, engineering, and analytics teams to bring predictive models into production and drive measurable impact in water conservation, infrastructure optimization, and operational efficiency.This is an exciting opportunity to expand your expertise in production-grade machine learning, cloud technologies, time-series analytics, and scalable data engineering while contributing to sustainability-focused technology initiatives.What You’ll DoDesign, develop, deploy, and maintain machine learning models and scalable data science solutionsPartner with Product Management and Engineering teams to translate business requirements into analytical strategies and ML capabilitiesBuild predictive models for:Water consumption forecastingLeak detectionAnomaly detectionPredictive maintenanceAnalyze large-scale, time-series IoT data from smart water meters and utility systemsDevelop and optimize data pipelines using Python, SQL, and distributed computing frameworksPerform exploratory data analysis (EDA) to identify trends, patterns, and operational insightsConduct feature engineering, model experimentation, validation, and performance tuningCreate dashboards, visualizations, and reports to communicate insights to technical and non-technical stakeholdersImplement data quality checks, validation processes, and monitoring workflowsCollaborate with software engineers to integrate ML models into the Neptune 360 platformMonitor and support production machine learning systems for reliability and performanceDocument methodologies, codebases, and model development processesParticipate in code reviews and uphold software engineering and data science best practicesWork within cloud-based infrastructure environments, primarily AWSStay current on emerging ML techniques, tools, and industry trendsParticipate in Agile sprint planning, standups, and iteration reviewsSupport senior data scientists on advanced analytical initiativesContinuously grow technical expertise through certifications, training, and hands-on learningRequired Qualifications3+ years of experience in Data Science, Machine Learning, or a related analytical field3+ years of hands-on Python experience using libraries such as pandas, NumPy, and scikit-learnStrong SQL skills and experience working with relational databasesProven experience building, evaluating, validating, and deploying machine learning modelsSolid understanding of statistics, hypothesis testing, and experimental designExperience with data visualization and storytelling best practicesFamiliarity with cloud platforms such as AWS, Azure, or GCPExperience using Git and version control workflowsUnderstanding of software development lifecycle (SDLC) and engineering best practicesExperience working in Agile or iterative development environmentsStrong analytical thinking, problem-solving ability, and attention to detailExcellent communication skills with the ability to explain technical concepts to diverse audiencesDemonstrated ability to learn new technologies quickly in a fast-paced environmentPreferred QualificationsExperience with PySpark or distributed computing frameworksExperience with time-series analysis and forecasting modelsHands-on experience with AWS services such as SageMaker, Lambda, S3, and RedshiftExperience with deep learning frameworks such as TensorFlow or PyTorchExperience deploying machine learning models into production environmentsBackground working with IoT data, smart devices, or utility operationsEducationBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field — or equivalent practical experience.Why This Opportunity?Work on cutting-edge IoT and machine learning solutionsContribute to sustainability and water conservation initiativesGain hands-on experience with production ML systems and cloud technologiesCollaborate with high-performing cross-functional teamsOpportunity for growth, mentorship, and continued technical development#DataScientist #MachineLearning #Python #AWS #IoT #DataScienceJobs #MLOps #PredictiveAnalytics #TimeSeries #Utilities #CloudComputing #AIJobs #WaterTech #Sustainability #Hiring","datePosted":"2026-04-12T18:55:45.148Z","dateModified":"2026-04-12T18:55:45.148Z","hiringOrganization":{"@type":"Organization","name":"Soltech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Duluth","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7ad4c368552f618fb7bc9122"},"url":"https://jobsearcher.com/jobs/7ad4c368552f618fb7bc9122"}}