Sr. Marketing Data Scientist (32014)

Myticas - Chicago, IL

Full-time - Mid Level

Remote - Chicago, IL

Administrative and Support Services

About the position

The Sr. Marketing Data Scientist role is focused on leveraging advanced analytical skills to drive marketing media analytics and support business growth. This position requires a strong understanding of marketing concepts and the ability to communicate complex data insights to stakeholders effectively. The role is 100% remote and is designed for a candidate with a robust background in statistical modeling and marketing analytics.

Responsibilities

• Analyze complex data sets to derive actionable insights for marketing strategies.
• Develop and implement statistical models, including marketing mix modeling.
• Communicate analytical findings to non-technical stakeholders clearly and concisely.
• Collaborate with cross-functional teams, including media, creative, product, and finance.
• Stay updated on industry trends and best practices in marketing analytics.

Requirements

• Master's degree in Statistics, Economics, Operation Research, Industrial Engineering, Mathematics, Marketing Analytics or related field; Ph.D. preferred.
• 3-4 years of hands-on experience in marketing analytics and statistical modeling, with a focus on marketing mix modeling; 5-7 years preferred.
• Proficiency in statistical techniques such as regression analysis, time series analysis, and predictive modeling; 3-4 years of experience required.
• Proficiency in statistical software such as SQL, R, Python, and PBI; 3-4 years of experience required.
• Familiarity with AWS services like SageMaker and Lambda functions; 1-2 years preferred.
• Strong problem-solving skills and attention to detail.
• Deep understanding of marketing concepts, including advertising, distribution, and campaign strategies.
• Ability to align marketing strategies with broader organizational goals.

Nice-to-haves

• Familiarity with different marketing channels and their impact on business performance.
• Knowledge of industry trends and best practices in marketing analytics.