Data Scientist

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from homeVisa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.Essential Duties And Responsibilities (Other Duties May Be Assigned)Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaignsDesign, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segmentsPerform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inferenceBuild predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimizationCommunicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentationsDevelop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-timeCollaborate with cross-functional teams to ensure data quality and integrity across all analytics initiativesStay current with emerging techniques in data science, machine learning, and marketing analyticsQualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.3+ years of professional experience applying statistical methods and machine learning to business problemsStrong foundation in statistical theory including probability, inference, experimental design, and multivariate analysisDemonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodelsExperience with SQL and working with large-scale databasesProven ability to design and analyze A/B tests and controlled experimentsTrack record of translating complex analytical insights into clear, actionable business recommendationsStrong communication skills with the ability to present technical concepts to non-technical audiencesPreferred QualificationsExperience working with advertising agencies, marketing teams, or in the ad tech industryKnowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)Familiarity with marketing attribution models and multi-touch attribution methodsExperience with cloud computing platforms (AWS, GCP, or Azure)Knowledge of causal inference methods and their application to marketing effectivenessExperience with customer data platforms (CDPs) and marketing automation toolsEducationAdvanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative fieldTotal Perks PackageThe chance to be a part of a growing company and the next success storyAmazing opportunities for career developmentRecognition programsEmployee referral bonusHybrid work schedule; 3 days in the office, 2 days working from homeFun and collaborative work environmentCasual dress codeInsurance Coverage (medical, dental, vision, life, and disability)401(k) retirement plan, with employer 4% matchWork/life benefits, including mental health and wellbeing supportFlexible Time Off PolicyPaid holidays, including agency closing Christmas Eve-New Year's DayPaid leave options, including sick leave, medical leave for self and family, and parental leaveCalifornia Residents - Please review our Privacy Notice here.