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Axos Bank

Digital bank offering integrated financial services

Senior Data Scientist - Marketing Intelligence

Data ScienceConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USA$120k - $165k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Data Science, Statistics, Economics, Mathematics, Computer Science, Engineering, Operations Research, or a related quantitative field is required.
  • Five or more years of experience in data science, machine learning, predictive analytics, advanced analytics, or a related field is required.
  • Demonstrated success delivering predictive or analytical solutions that drive measurable business outcomes is required.
  • Deep expertise in statistical modeling, machine learning, predictive analytics, experimentation, causal inference, uplift modeling, and model evaluation is required.
  • Experience developing customer-focused models, including propensity, lead scoring, segmentation, churn, customer lifetime value, personalization, recommendation, and next-best-action models is required.
  • Proficiency in Python and SQL, including the ability to review, validate, troubleshoot, and enhance AI-generated analytical solutions, is required.
  • Experience with large customer, transactional, behavioral, CRM, digital, marketing, or third-party datasets is required.
  • Strong understanding of model governance, reproducibility, testing, monitoring, documentation, and responsible AI practices is required.
  • Experience applying analytics to customer acquisition, marketing, customer intelligence, sales, growth, retention, or related business functions is required.
  • Strong business acumen with the ability to connect analytical results to customer, operational, and financial outcomes is required.
  • Excellent communication, presentation, and stakeholder management skills, including translating complex analytics into actionable business recommendations, are required.
  • Experience presenting analytical insights and business impact to senior leadership and executive audiences is required.
  • Demonstrated ability to operate effectively in fast-paced, ambiguous environments with strong analytical judgment, intellectual curiosity, and ownership is required.

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 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 return on investment.
  • 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.

Desired Qualifications

  • A master's degree or PhD is preferred.
  • Experience with Databricks, Spark/PySpark, MLflow, Delta Lake, Unity Catalog, lakehouse architectures, or similar modern data platforms is preferred.
  • Familiarity with AI-assisted analytics and development tools, including Databricks Genie Code, Claude Code, Cursor, or comparable technologies, is preferred.
  • Financial services, fintech, lending, insurance, or other regulated-industry experience is preferred.

About the Company

Axos Bank

Digital bank offering integrated financial services

Axos Bank is a financial institution that offers banking, investing, clearing, and custody services in a single platform. It provides traditional banking products for individuals and businesses, and integrates services across money management, investment, and settlement functions to simplify finances. The company operates as a digital-first bank, aiming to connect multiple financial services under one provider rather than requiring customers to use several firms. Its product approach centers on merging banking with other financial services to create a unified experience—one firm with many ways forward. Axos’s goal is to make money work smarter for customers by offering accessible, connected financial solutions and broadening the scope of what a bank can do for individuals, businesses, and institutions.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Diego, CA
Founded
1999

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