Data Scientist

Radaranalytics

Kansas City, Missouri, United States

Hybrid 2026-06-22

Estimated salary · Kansas City

~ $75,513 - $131,164

Low

$75K

Median

$99K

High

$131K

Market in Kansas City · BLS OEWS 2025

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Job description

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 home Visa 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) <ul> <li>Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns</li> <li>Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments</li> <li>Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference</li> <li>Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization</li> <li>Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations</li> <li>Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time</li> <li>Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives</li> <li>Stay current with emerging techniques in data science, machine learning, and marketing analytics</li> </ul> Qualifications - 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. <ul> <li>3+ years of professional experience applying statistical methods and machine learning to business problems</li> <li>Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis</li> <li>Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)</li> <li>Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels</li> <li>Experience with SQL and working with large-scale databases</li> <li>Proven ability to design and analyze A/B tests and controlled experiments</li> <li>Track record of translating complex analytical insights into clear, actionable business recommendations</li> <li>Strong communication skills with the ability to present technical concepts to non-technical audiences</li> </ul> Preferred Qualifications: <ul> <li>Experience working with advertising agencies, marketing teams, or in the ad tech industry</li> <li>Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)</li> <li>Familiarity with marketing attribution models and multi-touch attribution methods</li> <li>Experience with cloud computing platforms (AWS, GCP, or Azure)</li> <li>Knowledge of causal inference methods and their application to marketing effectiveness</li> <li>Experience with customer data platforms (CDPs) and marketing automation tools</li> </ul> Education <ul> <li>Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field</li> </ul> Total Perks Package <ul class="ignore-global-css"> <li class="gmail-ignore-global-css">The chance to be a part of a growing company and the next success story</li> <li class="gmail-ignore-global-css">Amazing opportunities for career development</li> <li class="gmail-ignore-global-css">Recognition programs</li> <li class="gmail-ignore-global-css">Employee referral bonus</li> <li class="gmail-ignore-global-css">Hybrid work schedule; 3 days in the office, 2 days working from home</li> <li class="gmail-ignore-global-css">Fun and collaborative work environment</li> <li class="gmail-ignore-global-css">Casual dress code</li> <li class="gmail-ignore-global-css">Insurance Coverage (medical, dental, vision, life, and disability)</li> <li class="gmail-ignore-global-css">401(k) retirement plan, with employer 4% match</li> <li class="gmail-ignore-global-css">Work/life benefits, including mental health and wellbeing support</li> <li class="gmail-ignore-global-css">Flexible Time Off Policy</li> <li class="gmail-ignore-global-css">Paid holidays, including agency soft closing Christmas Eve-New Year's Day</li> <li class="gmail-ignore-global-css">Paid leave options, including sick leave, medical leave for self and family, and parental leave</li> </ul><div class="content-conclusion">California Residents - Please review our Privacy Notice <a href="https://drive.google.com/file/d/1ScnONj7xW3Xy3ytStohy1If0HY6iVnLs/view?usp=sharing" target="_blank">here</a>. </div>

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