Senior Marketing Data Scientist

Role Overview

• Lead the development and ongoing improvement of the company’s internal Marketing Mix Modeling (MMM) capability.
• Develop, estimate, and maintain marketing mix models, including model specification, variable engineering, lag/adstock structures, and model validation.
• Build and maintain data-driven attribution models to understand customer acquisition pathways and channel contribution.
• Analyze marketing performance and provide recommendations for optimal marketing spend allocation across channels.
• Partner with marketing leadership to develop robust frameworks for measuring incremental marketing impact.
• Design, implement, and analyze incrementality and lift tests across marketing channels.
• Develop methodologies to measure the causal impact of marketing investments.
• Partner with marketing teams to embed testing frameworks into campaign planning.
• Conduct deep exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities in marketing and customer data.
• Evaluate campaign performance, customer acquisition dynamics, and channel effectiveness.
• Identify opportunities to improve ROI, conversion rates, and acquisition efficiency.
• Design and implement monitoring frameworks and automated alerts to track marketing performance.
• Build and maintain Power BI dashboards and reporting tools that provide clear visibility into marketing KPIs.
• Develop scalable reporting and analytical tools to support ongoing marketing measurement and decision-making.
• Translate complex analytical results into clear, actionable business insights.
• Present findings to non-technical stakeholders and senior leadership.
• Serve as a trusted analytical partner to marketing leadership and executives.
• Lead or support additional marketing analytics initiatives, including: Campaign performance analysis, Channel effectiveness studies, Customer segmentation analysis, Marketing performance diagnostics.

Requirements

• 5+ years of experience in marketing analytics, marketing data science, or related analytical roles
• Hands-on experience developing and maintaining Marketing Mix Models (MMM), including model specification, variable engineering, estimation, and validation
• Experience building or implementing data-driven attribution models
• Experience designing and measuring incrementality or lift testing frameworks
• Strong experience performing exploratory data analysis
• Experience working with complex, multi-source marketing datasets
• Experience building business dashboards and reporting tools (Power BI preferred)
• Experience working in the insurance industry, with a strong preference for commercial or small business insurance
• Familiarity with insurance-specific data such as policy lifecycle events, underwriting attributes, claims data, pricing, or retention metrics
• Experience supporting growth, acquisition, retention, or cross-sell analytics in regulated financial services environments
• Understanding of small business customer behavior, including segmentation by industry, size, and risk profile
• Proficiency in Python or R for statistical modeling and data analysis
• Strong SQL skills and experience working with large datasets
• Experience with econometric, statistical, or causal inference methods
• Experience building reproducible analytical workflows and data pipelines

Tech Stack

• Python
• SQL

Benefits

• Medical (PPO/HDHP), vision, disability, and life insurance.
• Enhanced dental plan with orthodontia coverage in addition to a standard plan.
• Generous PTO plan for all benefit-time eligible employees.
• Paid company holidays and 4 floating holidays.
• Paid parental leave.
• Employee Retirement Savings Plan/401(k) with company match and immediate vesting.
• Education Assistance Program that offers 100% upfront tuition reimbursement after 6 months of service for approved degree programs.
• Service Recognition Program that provides a monetary award to be used toward a vacation every 5 years of employment.
• Wellness Initiatives that include Fitness Center and Weight Watchers Reimbursement programs.
• Voluntary benefits that include accident, critical illness, and hospital indemnity.
• Employee discount and rewards program on travel, tickets, electronics, home, and more.