Senior Marketing Data Scientist leading advanced analytics initiatives for biBerk, enhancing marketing ROI and optimizing campaign performance. Collaborate with the Marketing team to drive effective investment decisions.
Responsibilities
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
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.
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