Minimum 10 years of experience in data science, analytics, or related field
Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field
Minimum of 7 years of experience in managing and leading people
Strong technical background in predictive modeling, statistics, and data visualization coupled with experience leading teams through organizational transformation and innovation.
Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models.
Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems.
Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics. Proven leadership in data science or analytics with a marketing focus.
Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology.
Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership.

SmartExplore AI is experimental.

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