Responsibilities

• Partner with Marketing and business leaders to identify opportunities for predictive analytics, customer intelligence, and experimentation
• Design, develop, and validate predictive and prescriptive models including propensity, lead scoring, churn, customer lifetime value, segmentation, recommendation, and next-best-action models
• Translate business questions into analytical frameworks, hypotheses, success metrics, and actionable recommendations
• Utilize Databricks and approved AI-assisted tools to accelerate data science workflows while maintaining strong analytical oversight and model governance
• Design and evaluate A/B tests, test/control methodologies, uplift models, and causal measurement frameworks
• Analyze customer behavior and marketing performance to identify growth opportunities and improve targeting, conversion, retention, and ROI
• Partner with Marketing Analytics, Data Engineering, Enterprise Data, and AI/ML Engineering teams to build scalable datasets, features, and production-ready analytical solutions
• Communicate insights, recommendations, risks, and financial impact to business stakeholders and executive leadership
• Establish best practices for modeling, validation, experimentation, and AI-assisted analytics
• Ensure compliance with privacy, governance, fairness, explainability, and responsible AI standards

Requirements

• Bachelor’s degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, Operations Research, or a related quantitative field; Master’s degree or PhD preferred
• 5+ years of experience in data science, machine learning, predictive analytics, advanced analytics, or a related field
• Demonstrated success delivering predictive or analytical solutions that drive measurable business outcomes
• Deep expertise in statistical modeling, machine learning, predictive analytics, experimentation, causal inference, uplift modeling, and model evaluation
• Experience developing customer-focused models, including propensity, lead scoring, segmentation, churn, customer lifetime value, personalization, recommendation, and next-best-action models
• Proficiency in Python and SQL, with the ability to review, validate, troubleshoot, and enhance AI-generated analytical solutions
• Experience with large customer, transactional, behavioral, CRM, digital, marketing, or third-party datasets
• Experience with Databricks, Spark/PySpark, MLflow, Delta Lake, Unity Catalog, lakehouse architectures, or similar modern data platforms preferred
• Familiarity with AI-assisted analytics and development tools, including Databricks Genie Code, Claude Code, Cursor, or comparable technologies
• Strong understanding of model governance, reproducibility, testing, monitoring, documentation, and responsible AI practices

Benefits

• Medical, Dental, Vision, and Life Insurance
• Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year)
• HSA or FSA account and other voluntary benefits
• 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
• Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading