Job Title: Data ScientistExperience: 7+ YearsLocation: USA/Canada (Remote) or Offshore (Remote)Working Hours: USA ESTJob Description:We are looking for experienced Data Scientists with proven expertise in building Media MixModels (MMM) and Multi-Touch Attribution (MTA) models for a long-term engagementwith Univision. The ideal candidates should have a strong background in AdTech, datascience, and analytics, with the ability to derive actionable insights from large datasets inthe media and OTT domain.Key Responsibilities: Develop advanced MMM (Media Mixed Modeling) and MTA (Multi-touch Attribution)models to optimize marketing and advertising strategies Analyze large volumes of structured and unstructured data to uncover trends,correlations, and actionable insights Build and deploy machine learning models and predictive algorithms to solve complexbusiness problems Gather data from diverse sources, clean and transform it for analysis Apply statistical techniques to validate models and ensure accuracy and reliability Automate analytical workflows and repetitive tasks using AI tools and scripting languages Create compelling visualizations, dashboards, and reports to communicate insights acrossteams Collaborate with cross-functional teams including AdSales, Data Engineering, andAnalytics Stay updated on the latest developments in AI, machine learning, and media analyticsRequired Skills & Experience: Specific MMM Experience: Bayesian methods, causal inference, incrementality testing MTA Expertise: Attribution modeling, customer journey analysis, touchpoint optimization Tools: Python (scikit-learn, statsmodels), R (prophet, CausalImpact), SQL,Tableau/PowerBI 6+ years of experience in data science, analytics, or machine learning roles At least 3 years of experience in AdTech or AdSales systems Hands-on experience in developing MMM and MTA models Strong understanding of OTT, digital media, and advertising ecosystems Proficiency in programming languages like Python, R, or SQL for data manipulation andmodeling Experience working with large datasets, data pipelines, and BI/reporting tools Familiarity with statistical methods, experiment design, and model evaluation metrics Excellent problem-solving, communication, and stakeholder management skil