Data Scientist
Hybrid · St. Louis, Missouri, United States or Kansas City, Missouri, United States
Job Summary
Data Scientist to conduct deep statistical analyses of customer behavior and advertising performance across multiple channels, design and deploy machine learning models to predict responses and optimize spend, and build dashboards for real-time campaign monitoring. Responsibilities include advanced modeling (regression, hypothesis testing, time-series, causal inference), forecasting (LTV, churn, attribution, optimization), communicating insights to technical and non-technical stakeholders, ensuring data quality, and collaborating with cross-functional teams. Strong Python or R skills, SQL proficiency, and experience with ML algorithms and A/B testing are required; preferred experience in ad tech and marketing analytics with familiarity of digital advertising platforms and cloud platforms.
Required Qualifications
- 3+ years of professional experience applying statistical methods and machine learning to business problems
- Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
- Demonstrated 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, statsmodels
- Experience with SQL and working with large-scale databases
- Proven ability to design and analyze A/B tests and controlled experiments
- Track record of translating complex analytical insights into clear, actionable business recommendations
- Strong communication skills with the ability to present technical concepts to non-technical audiences
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