Marketing Data Science Manager

Kforce is seeking a Marketing Data Science Manager in Phoenix, AZ, to bridge data modeling and business impact. This role focuses 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 to translate data into meaningful narratives. This position offers the opportunity to shape the organization's marketing data science function, directly influence marketing strategy, and gain exposure to cutting-edge analytics and experimentation techniques.

Must Have

• 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)
• 10+ years of experience in analyzing complex data and models, deriving and delivering actionable insights
• 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
• Strong problem-solving skills and attention to detail
• Deep understanding of marketing concepts, channels, and campaign strategies
• 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)

Good to Have

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

Perks & Benefits

• Medical/dental/vision insurance
• HSA
• FSA
• 401(k)
• Life, disability & ADD insurance
• Paid time off (for salaried personnel)
• Paid sick leave (for hourly employees on a Service Contract Act project)
• Path to full-time employment with strong career growth opportunities

Description

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)

What You'll Gain:

• 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

Requirements

• 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

Preferred Experience:

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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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