Marketing Data Science Advisor

Description

The individual will provide expertise and leadership in handling vast amounts of data, enterprise analytics, statistical modeling, and AI/ML initiatives. They will utilize their knowledge of customer data, market dynamics, and internal business processes to develop analytical solutions for complex business problems. Creates and executes analytical solutions from concept to production, communicating results to diverse audiences, and providing thought leadership in advanced modeling and analysis. Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Works on multiple complex assignments concurrently. Makes advanced use of current and emerging technologies and advanced use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to evaluate trends and develop actionable insights and to drive recommendations to business partners and management. Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Provides consultation to management on a regular basis and formally prepares and presents recommendations to leadership. Mentors fewer senior staff. Perform other duties as assigned. 

Requirements

Master’s degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research plus 3 years of experience in the job offered or three (3) years of work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role required. The employer will alternatively accept a Ph.D. in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research, in lieu of a Master's degree plus 3 years of experience. The position requires experience with (skills can be gained concurrently with education): Working with data from Microsoft Azure Delta Lake and Databricks using SQL and Python; Agile methodology as project management and software development approach; Experience with applying Deep Learning modeling methods for time series forecasting or other prediction. Working experience with Machine Learning Operations (MLOps), using Microsoft Azure DevOps to manage codebase, deploy & maintain models, build end-to-end workflows for scale, reliability, efficiency and automation. Two (2) of those years of experience or coursework should be with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, PowerBI, Spotfire, etc. will be considered equivalent. Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills. Strong problem-solving abilities; Analytical/modeling language knowledge; Advanced statistical analysis knowledge, and other quantitative analysis of complex business situations; Ability to communicate highly complex information in an understandable manner to both technical and non-technical audiences at all levels; Strong collaboration and project leadership skills; Ability to mentor lower levels. Directly related advanced degrees may offset experience requirements. Position allows for telecommuting from home within commuting distance of Plano, TX.