**Only qualified Data Scientist candidates located within the US will be considered as this position is fully remote.***Required Skills, Experience, & Abilities:• Statistical programming languages such as Python or R.• Experience in time series forecasting and/or machine learning.• SQL (for data querying and manipulation).• A strong drive to explore data deeply, question assumptions, and seek continuous improvement in forecasting models and methodologies.• The ability to work effectively across teams, clearly articulate complex technical concepts, and integrate diverse perspectives to enhance marketing optimization efforts.Preferred Skills, Experience, & Abilities:• Snowflake (or similar cloud data warehouse experience).• Optimization techniques and tools (to support marketing spend optimization efforts).Roles & Responsibilities:• Lead forecasting efforts leveraging Marketing Mix Modeling (MMM) and advanced time series techniques to drive accurate, actionable insights.• Identify and implement enhancements to improve the accuracy and efficiency of MMM-based forecasts.• Develop and automate rigorous testing and validation frameworks to ensure forecast reliability and robustness.• Collaborate cross-functionally to build and refine marketing spend optimization models that maximize ROI.• Proactively explore innovative data science approaches to continuously elevate forecasting and optimization capabilities.**Only those lawfully authorized to work in the designated country associated with the position will be considered.** **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**