Data Scientist IIExperience Level: 5–10 Years Location: Atlanta, GA Contract- 1 Year Client- Southern CompanyPosition OverviewThe Data Scientist II is responsible for leveraging large and complex datasets to uncover insights, develop predictive models, and drive data-informed decision-making across the organization.This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal candidate is a strategic thinker who can translate business challenges into scalable analytical solutions while mentoring junior team members.Key ResponsibilitiesData Analysis & Insight GenerationCollect, clean, and analyze complex datasetsIdentify trends, patterns, and actionable insightsApply statistical techniques to support data-driven decisionsPredictive Modeling & Machine LearningDevelop and deploy machine learning models to predict future trends and outcomesApply regression, clustering, classification, and advanced modeling techniquesBuild and optimize algorithms such as:Decision TreesRandom ForestsNeural NetworksGradient Boosting modelsFeature Engineering & Model OptimizationEngineer and select relevant features to improve model performanceFine-tune model parameters and validate predictive accuracyEnsure models are scalable and production-readyModel Deployment & Production SupportDeploy machine learning models into production environmentsSupport real-time decision-making applicationsMonitor model performance and retrain as neededData Visualization & CommunicationDevelop dashboards and visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, etc.)Communicate insights effectively to technical and non-technical stakeholdersHypothesis Testing & ExperimentationDesign and analyze A/B testsConduct hypothesis testing and provide statistical validationMeasure business impact of changes and enhancementsData Integration & CollaborationCollaborate with IT and database teams to access and integrate data sourcesWork with cross-functional teams (engineering, business analysts, domain experts)Align data science initiatives with strategic business objectivesGovernance & EthicsEnsure ethical data practices and compliance with data privacy regulationsMaintain documentation and transparency in model developmentLeadership & DevelopmentMentor junior data scientists and analystsContribute to best practices and data science methodologiesStay current with emerging tools, technologies, and industry trendsRequired QualificationsBachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field5–10 years of experience in data science, machine learning, and statistical analysisProficiency in Python, R, or JuliaStrong understanding of machine learning algorithms and their applicationsExperience with SQL and database queryingExperience with data visualization tools (Tableau, Power BI, or Python libraries)Strong analytical, problem-solving, and critical-thinking skillsExcellent written and verbal communication skillsPreferred QualificationsMaster's or Ph.D. in a quantitative fieldExperience with big data technologies (Hadoop, Spark)Experience with distributed computing frameworksExperience deploying models in cloud environments