Marketing Data Science Manager

Kforce has a client in Phoenix, AZ that is seeking a Marketing Data Science Manager who can bridge the gap between data modeling and business impact. This role will focus on leveraging data science models and analytical frameworks to generate actionable marketing insights, optimize campaign performance, and guide strategic decisions. The ideal candidate combines strong analytical and technical skills with business acumen and communication ability to translate data into meaningful narratives for stakeholders. Key Responsibilities:

• Build and deploy predictive/statistical models (attribution, MMM, churn, LTV, segmentation)
• Translate results into actionable insights and present to senior stakeholders
• Develop scalable analytics pipelines; operationalize insights for targeting and spend optimization
• Maintain models, monitor performance, and iterate improvements
• Support MMM app development and deployment using AWS tools
• Handle ad-hoc data requests, dashboards, and internal training
• Lead projects, manage timelines, and ensure alignment with business goals
• Design experiments, measure ROI, and inform marketing strategy
• Translate complex analytics into clear insights for non-technical stakeholders
• Collaborate with cross-functional teams (media, creative, product, finance)

• Opportunity to help shape the organization's marketing data science and insights function
• Direct influence on marketing strategy and customer growth initiatives
• Exposure to cutting-edge analytics and experimentation techniques in a data-driven culture
• Path to full-time employment with strong career growth opportunities
• Bachelor's or Master's degree in Statistics, Economics, Operation Research, Computer Science, Industrial Engineering, Mathematics, Marketing Analytics, etc.
• 10+ years of experience in analyzing complex data and models, derive and deliver actionable insights to provide data driven marketing strategy to stakeholders; Strong ability to translate model outputs into business insights and marketing recommendations
• 10+ years of experience in machine learning, marketing analytics, statistical modeling, and marketing mix modeling
• 10+ years of experience applying statistical techniques (regression, time series, predictive modeling, optimization)
• 7+ years of experience in statistical software such as SQL, R, Python, PBI for data wrangling and modeling
• 5+ years of experience in marketing research methodologies and tools
• 5+ years of experience with AWS Sagemaker and Lambda functions; Terraform experience will be preferred
• Strong problem-solving skills and attention to detail
• Deep understanding of marketing concepts, channels, and campaign strategies
• Knowledge of industry trends and best practices in marketing analytics
• Ability to align analytics with business objectives and drive growth
• Expertise in ML/statistical model development, simulation, optimization, and AWS deployment
• Proficient in SQL, Python, R; advanced in AWS (Sagemaker, EC2, S3), Terraform, Bitbucket
• Strong in visualization tools (Power BI, Excel, Streamlit)
• Experience with MMM, optimizer applications a plus

• AI and multi-touch attribution modeling
• Familiarity with ad platforms (Google Ads, DV360)
• A/B testing and experimentation frameworks