Marketing Science Lead — Data-Driven Growth & Insights

Crossmedia Inc; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work options

Open PTO/Annual leave

Healthcare options

401k with company match

Professional development

Job summary

Crossmedia seeks a Supervisor, Marketing Science & Analytics to join Redbox, Crossmedia’s marketing science and data science team. You will serve as a day-to-day analytical lead across client engagements, new business opportunities, and internal initiatives, partnering with Analysts, Engineers, Directors, and cross-functional agency teams.

This role blends hands-on statistical and data science expertise with client leadership, team management, and the ability to translate complex business

Qualifications

• 3+ years of experience in marketing science, statistics, econometrics, data science, or another quantitative discipline; media or advertising experience is a plus.
• Strong foundation in statistics and hands‑on experience applying analytical methods to real‑world business problems.
• Proficiency in Python, with experience using tools such as pandas, statsmodels, scikit-learn, PyMC, Meridian, or similar.

Responsibilities

• Lead marketing science and analytics workstreams across current clients, new business, and internal initiatives, managing projects from data and measurement through analysis, insights, and recommendations.
• Partner directly with clients and account teams to define measurement objectives, translate business questions into testable hypotheses, and develop rigorous analytical approaches.
• Apply statistical and data science methods including media mix modeling (MMM), regression, causal inference, experimentation, geo-lift/DMA holdout testing, Bayesian methods, segmentation, forecasting, and optimization.
• Build, interpret, and communicate statistical models and translate complex analyses into compelling, actionable stories for clients and internal stakeholders.
• Use Python and SQL to analyze data and build reproducible, well-documented analytical workflows; experience with cloud data warehouses such as Snowflake or BigQuery is preferred.
• Develop dashboards, visualizations, and other data products using tools such as Tableau, Python visualization libraries, or Datorama.
• Manage analytical delivery and execution with external measurement and data partners.
• Serve as a trusted statistical and marketing science expert in client meetings, confidently explaining methodology, findings, limitations, and recommendations.
• Ensure analytical work is statistically rigorous, reproducible, and meets XM’s standards for quality.
• Lead and mentor Analysts and Data Scientists, providing guidance on prioritization, analytical approaches, coding practices, and professional development.
• Keep Directors and account teams informed of project progress, risks, and key decisions, escalating issues and seeking senior support when appropriate.
• Contribute to the development of Redbox’s marketing science and data science capabilities through training, thought leadership, technical content, and new methodologies.
• Participate in broader team and agency initiatives, including talent development, recruiting, vendor management, and department planning.
• Stay current on emerging statistical, data science, and marketing measurement approaches and adapt as Redbox’s tools and capabilities evolve.

Skills

Python

SQL

MMM

Statistics

Client leadership

Mentoring

Tools

Snowflake

BigQuery

Tableau

Datorama

Pandas

scikit-learn

Job description

Crossmedia seeks a Supervisor, Marketing Science & Analytics to join Redbox, Crossmedia’s marketing science and data science team. You will serve as a day-to-day analytical lead across client engagements, new business opportunities, and internal initiatives, partnering with Analysts, Engineers, Directors, and cross-functional agency teams.

This role blends hands-on statistical and data science expertise with client leadership, team management, and the ability to translate complex business