Marketing Data Science; Multi Level

Sr. Marketing Data Scientist

Under moderate supervision provides expertise at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives. Uses expert knowledge of data on customers, consumers, economy, external demand drivers, market, and competition (structured and unstructured) and internal business processes to develop analytical solutions to relatively well-defined and lower complexity business problems.

Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Provides thought leadership and leads cross-functional teams in descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Makes use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management.

Makes use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision-making. Leads cross functional projects and programs, formally preparing and presenting to management. Provides consultation to management on a regular basis. Routinely works on multiple assignments concurrently. Mentors less experienced staff.

Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research. Related experience may offset degree requirements and related education/degree may offset experience requirements.

Two (2) years work experience in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role. One (1) year of experience or coursework 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, Power BI, Spotfire, etc.

Strong problem solving, analytical, and communication skills. Directly related advanced degrees may offset experience requirements.

• Business acumen, storytelling with data, communicate to influence.
• Project management & cross-functional collaboration.
• Customer Centric and end-to-end design, requirements analysis.
• Python, Power BI, SQL, Azure, Databricks, Agentic AI.
• Develop actionable insights for executive consumption with business analytics.
• Produce demand forecast and business plans with Machine Learning techniques, and by leveraging economic and market indicators.
• Design forecasting & insights infrastructure.

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 less senior staff.
• Perform other duties as assigned.

Masters degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research. Directly related advanced degrees may offset experience requirements.

Three (3) years work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as…