Sr. Marketing Data Scientist

About the Role

Key Responsibilities

• Provide expertise in enterprise analytics, statistical modeling, and AI/ML initiatives.
• Develop analytical solutions for well-defined and lower complexity business problems.
• Create and execute solutions from initial concept to production.
• Communicate results to a broad range of audiences.
• Lead cross-functional teams in descriptive, diagnostic, predictive, and prescriptive modeling.
• Evaluate trends using current and emerging technologies to develop insights and recommendations.
• Drive decision-making through data analysis, predictive modeling, and fact-based management.
• Lead cross-functional projects and programs, including preparing and presenting to management.
• Provide consultation to management regularly.
• Work on multiple assignments concurrently.
• Mentor less experienced staff.

Requirements

• Master's degree in data science, analytics, business, mathematics, economics, computer science, engineering, operations research, or related quantitative field plus 2 years of experience in an analytical, quantitative, or technical role.
• Alternatively, a Ph.D. in the relevant fields in lieu of a Master's degree plus 2 years of experience.
• Experience or coursework in Python ML (Pandas, Keras, Scikit-learn, Statsmodel, NLTK, Matplotlib).
• Experience or coursework in Azure Cloud and Azure ML.
• Experience or coursework in Databricks, SQL, SAS, and databases such as SQL Server, Snowflake, Oracle, Teradata.
• Experience or coursework in Data Science and Machine Learning including predictive models, unsupervised clustering, association modeling, and time series forecasting.
• Experience or coursework in visualization tools like SAS, Python, Tableau, PowerBI.
• At least 1 year of experience or coursework with computer-aided decision support or analytical/modeling languages (e.g., Python, R, SAS, SQL) and data visualization tools.
• Strong problem solving, analytical, and communication skills.

Nice to Have

• Directly related advanced degrees may offset experience requirements.
• Ability to telecommute from any location in the U.S.