Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
About the role
- 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.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist in AI SaaS integrating 100+ systems for a European unicorn - in - the - making. Ensure scalability, security, and performance in a high - growth environment.
Data Science Intern working on AI - driven recipe and hardware optimization problems in semiconductor processes. Developing machine learning models and collaborating with engineering teams for innovative solutions.
Senior Data Scientist at LexisNexis developing AI - driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.
Product Analyst for a leading media tech company managing SEO - friendly content and commercial campaigns. Collaborate with teams for digital content production and user engagement analysis.
Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
Data Scientist at BBVA AI Factory focusing on AI solutions in finance. Collaborate to develop AI - driven customer relationship models and analytics to enhance banking processes.
Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Senior Data Scientist focusing on developing generative AI solutions for financial applications at BBVA. Involved in evaluating models, developing analytical solutions, and iterative experimentation processes.
Data Scientist Analyst at BBVA transforming complex data into strategic solutions using machine learning. Collaborating within Banking Ops team to improve operational efficiency and customer experience.