Marketing Data Science Advisor

About the Role

Key Responsibilities

• Provide expertise and leadership in handling large data sets, enterprise analytics, statistical modeling, and AI/ML initiatives.
• Develop and implement analytical solutions from concept to production.
• Communicate results to diverse audiences and provide thought leadership in advanced modeling and analysis.
• Lead cross-functional teams in descriptive, diagnostic, predictive, and prescriptive modeling and statistical analysis.
• Evaluate trends using advanced data and statistical techniques to develop actionable insights and drive business recommendations.
• Consult with management regularly and present recommendations to leadership.
• Mentor less senior staff and perform other duties as assigned.

Requirements

• Master's degree in data science, analytics, business, mathematics, economics, computer science, engineering, or operations research plus 3 years of relevant experience, or a Ph.D. in the same fields in lieu of a Master's degree plus 3 years of experience.
• Experience working with data from Microsoft Azure Delta Lake and Databricks using SQL and Python.
• Experience with Agile methodology for project management and software development.
• Experience applying Deep Learning modeling methods for time series forecasting or other prediction tasks.
• Experience with Machine Learning Operations (MLOps), using Microsoft Azure DevOps to manage codebase, deploy and maintain models, and build scalable, reliable workflows.
• At least 2 years of experience or coursework with computer-aided decision support or analytical/modeling languages (e.g., Python, R, SAS, SQL) and data visualization tools like Tableau, PowerBI, Spotfire.
• Advanced knowledge of descriptive, diagnostic, predictive, and prescriptive modeling.
• Strong problem-solving, communication, collaboration, and project leadership skills.
• Ability to mentor lower levels.

Nice to Have

• Experience with applying Deep Learning modeling methods for time series forecasting or other prediction.
• Experience with data visualization tools like Tableau, PowerBI, Spotfire.

Qualifications

• Master's or Ph.D. degree in relevant quantitative fields.
• Relevant experience in data science, analytics, or related technical roles.