Data Scientist

Job Description *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id="request-WEB:6c02d8a5-d614-4c30-8670-66635113c03b-6" data-testid="conversation-turn-4" data-scroll-anchor="true" data-turn="assistant"> Our client is seeking a Data Scientist to help power an innovative water utility intelligence platform. In this role, you will develop and deploy machine learning models and advanced analytics solutions that transform large-scale IoT water meter data into actionable insights. You'll collaborate with cross-functional teams to bring predictive models into production and directly contribute to water conservation and operational efficiency initiatives. This is an exciting opportunity to grow your expertise in production-grade machine learning, cloud technologies, and data engineering while making a meaningful impact in the utilities and sustainability space. Key ResponsibilitiesDesign, develop, and deploy machine learning models and scalable data science solutionsPartner with Product Management to translate business requirements into analytical strategies and ML capabilitiesBuild predictive models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenanceAnalyze large-scale, time-series IoT data from water meters and utility operationsDevelop and optimize data pipelines using Python, SQL, and distributed computing frameworksPerform exploratory data analysis (EDA) to uncover trends, patterns, and performance insightsConduct feature engineering, model experimentation, and performance tuningCreate clear data visualizations and reports to communicate insights to technical and non-technical stakeholdersImplement data validation, quality assurance checks, and monitoring processes within analytical workflowsCollaborate with software engineers to integrate machine learning models into the client's Neptune 360 platformMonitor model performance and support ongoing maintenance of production ML systemsDocument methodologies, code, and model development processesParticipate in code reviews and uphold data science and software engineering best practicesWork within cloud-based data infrastructure environments (AWS preferred)Stay current with emerging machine learning techniques, tools, and industry trendsParticipate in Agile sprint planning and present completed work at the end of each iterationSupport senior data scientists on complex analytical initiativesContinuously expand technical skills through training, certifications, and hands-on learning Required Experience & Qualifications3+ years of experience in data science, machine learning, or a related analytical field3+ years of hands-on experience with Python and data science libraries (pandas, NumPy, scikit-learn)Strong proficiency in SQL and relational databasesProven experience building, evaluating, and validating machine learning modelsSolid understanding of statistical analysis and experimental designExperience with data visualization tools and best practicesFamiliarity with cloud platforms (AWS, Azure, or GCP)Experience using version control systems such as GitUnderstanding of software development lifecycle and best practicesExperience working in Agile or iterative development environmentsStrong analytical thinking, problem-solving skills, and attention to detailAbility to communicate complex technical concepts to both technical and non-technical audiencesDemonstrated ability to learn new technologies quickly and adapt in a fast-paced environmentOngoing professional development through coursework, certifications, or applied projectsPreferred QualificationsExperience with PySpark or distributed computing frameworksExperience with time-series analysis and forecasting techniquesHands-on experience with AWS services such as SageMaker, Lambda, S3, or RedshiftExperience with deep learning frameworks (TensorFlow or PyTorch)Experience deploying machine learning models into production environmentsBackground working with IoT data or within utility operations EducationBachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent combination of education and experience About SOLTECH SOLTECH is a leading national technology company based in Atlanta, driven by a steadfast commitment to integrity, strong company values, and customer centricity. For nearly 30 years, we've been part of the thriving technology community and have earned honors such as The Atlanta Journal-Constitution's Top Workplace and the Best & Brightest Companies To Work For In The Nation. Our exceptional team of engineers, designers, and strategists delivers custom software applications, technology consulting, AI and data engineering solutions, and IT staffing services that help organizations solve complex challenges nationwide. Join us on our quest to make the world a better place by bringing to life innovative software solutions that make our lives easier, safer, healthier, and more productive. If you're an IT professional seeking your next career opportunity, we'd love to match your expertise with a role where you can thrive. Learn more at https://soltech.net/working-for-soltech/. SOLTECH believes in the dignity of every individual and practices equal employment opportunity as a core principle. We consider all applicants without regard to race, color, age, sex, sexual orientation, gender identity, religion, marital status, national origin, disability, or veteran status.