Data Scientist/Machine Learning Scientist

Job DescriptionPosition OverviewWe are seeking a Data Scientist / Machine Learning Scientist to join a centralized AI and Data Science team supporting multiple business units across the organization. This role will partner with business leaders, product teams, and technical stakeholders to identify opportunities where advanced analytics and machine learning can create strategic value.The ideal candidate is passionate about solving complex business challenges through data driven insights and predictive modeling. You will be responsible for developing, deploying, and optimizing machine learning solutions while helping shape the organization's AI and analytics capabilities. This position offers the opportunity to work across a variety of business domains and influence high impact initiatives from concept through production.Key ResponsibilitiesCollaborate with business stakeholders, product teams, and technology partners to identify and prioritize data science opportunitiesDesign, develop, deploy, and maintain machine learning models that address complex business challengesPerform exploratory data analysis to evaluate data quality, identify trends, and uncover actionable insightsBuild predictive, classification, clustering, and optimization models using advanced statistical and machine learning techniquesMonitor model performance and continuously refine solutions throughout the model lifecycleTranslate business requirements into scalable data science solutions and clearly communicate results to technical and nontechnical audiencesDevelop scalable data science workflows utilizing cloud platforms and big data technologiesStay current on emerging AI, machine learning, and advanced analytics technologies and recommend innovative solutions where appropriateKey RequirementsBachelor's, Master's, or PhD in Computer Science, Statistics, Data Science, Mathematics, Machine Learning, Engineering, or a related quantitative fieldProven experience developing, deploying, and maintaining machine learning models in production environmentsStrong programming expertise with Python and experience with ScalaAdvanced SQL skills and experience working with large scale structured and unstructured datasetsHands on experience with big data technologies including PySpark, Apache Spark, and distributed data processing environmentsDeep understanding of statistical analysis, predictive modeling, feature engineering, model validation, and machine learning methodologiesExperience communicating technical concepts and analytical findings to both technical and business stakeholdersStrong problem solving skills with the ability to work independently and collaboratively across cross functional teamsPreferred QualificationsExperience with supervised and unsupervised machine learning techniquesExpertise with Random Forest, Gradient Boosting Machines, XGBoost, Support Vector Machines, K Means Clustering, and DBSCANExperience building and deploying deep learning modelsKnowledge of cloud based data science and machine learning platformsExperience designing scalable analytics pipelines and automation processesStrong background in predictive analytics, data mining, and advanced statistical modelingExperience creating data visualizations and presenting insights to executive leadershipWork ArrangementAtlanta based candidates will work a hybrid schedule with 2 days per week onsiteCandidates located outside the Atlanta area may work fully remoteWhy Join This OpportunityWork on high visibility AI and machine learning initiatives with enterprise wide impactCollaborate with experienced data scientists, engineers, product leaders, and business stakeholdersBuild innovative solutions using modern data science and machine learning technologiesInfluence strategic decision making through advanced analytics and predictive insightsEnjoy the flexibility of a hybrid or remote working environment