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VP, Senior Data Scientist - Marketing Intelligence

Pay
$120,000–165,000/yearLocation-specific pay — pay source
Target Range: $120,000.00/Yr. - $165,000.00/Yr.Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 12.5%
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, develop, and validate predictive and prescriptive customer models

  • Design and evaluate A/B tests and uplift models

  • Translate business questions into analytical frameworks and recommendations

  • Use Databricks and AI-assisted tools while keeping model governance

  • Communicate insights and financial impact to executive leadership

From the employer’s posting
Design, develop, and validate predictive and prescriptive models including propensity, lead scoring, churn, customer lifetime value
Design and evaluate A/B tests, test/control methodologies, uplift models, and causal measurement frameworks
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
Communicate insights, recommendations, risks, and financial impact to business stakeholders and executive leadership

What you’ll bring

All qualifications

Core experience

  • 5+ years of experience in data science, machine learning, predictive analytics, advanced analytics, or a related field
  • 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
  • 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

Preferred experience

  • 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
  • Experience with Databricks, Spark/PySpark, MLflow, Delta Lake, Unity Catalog, lakehouse architectures, or similar modern data platforms preferred
Qualification wording
5+ years of experience in data science, machine learning, predictive analytics, advanced analytics, or a related field
401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
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
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
Experience with Databricks, Spark/PySpark, MLflow, Delta Lake, Unity Catalog, lakehouse architectures, or similar modern data platforms preferred
Education & alternatives
Qualifications: - 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

About Axos Financial

Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want.

In the employer’s words · Read in context

Apply at Axos Financial

Posting record

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Open 5 monthsWe first saw this posting 178 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 9, 2026178 days ago
Recorded sightings
323
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 178

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Axos Financial is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Databricks
  • Delta Lake
  • MLflow
  • Spark
  • PySpark
Where the posting names them
- 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
- 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
- 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
- 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

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Axos Bank

Target Range:

$120,000.00/Yr. - $165,000.00/Yr.

Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.

Eligible for an Annual Discretionary Cash Bonus Target: 12.5%

Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 12.5%

These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.

About This Job

The VP, Senior Data Scientist – Marketing Intelligence serves as a strategic partner to Enterprise Marketing Strategy and business leaders, leveraging advanced analytics, machine learning, experimentation, and AI-assisted tools to drive customer growth and business performance. This role develops predictive and prescriptive models, translates complex business challenges into analytical solutions, and delivers actionable insights that improve acquisition, engagement, retention, cross-sell, and marketing ROI. Success requires strong modeling expertise, business acumen, critical thinking, and the ability to communicate complex findings to both technical and executive audiences.

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

Qualifications:

  • 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
  • Experience applying analytics to customer acquisition, marketing, customer intelligence, sales, growth, retention, or related business functions
  • Financial services, fintech, lending, insurance, or other regulated-industry experience preferred
  • Strong business acumen with the ability to connect analytical results to customer, operational, and financial outcomes
  • Excellent communication, presentation, and stakeholder management skills, with experience translating complex analytics into actionable business recommendations
  • Experience presenting analytical insights and business impact to senior leadership and executive audiences
  • Demonstrated ability to operate effectively in fast-paced, ambiguous environments with strong analytical judgment, intellectual curiosity, and ownership

Axos Employee Benefits May Include:

  • 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

About Axos

Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We’re a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.

Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).

Learn more about working at Axos

Pre-Employment Background Check and Drug Test:

All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization.

Equal Employment Opportunity:

Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.

Job Functions and Work Environment:

While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.

The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

E-Verify and Right to Work Notices

Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.

IER Right to Work Poster (English/Spanish)

E-Verify Participation Poster (English/Spanish)

Source details

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Pay
Target Range: $120,000.00/Yr. - $165,000.00/Yr.Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 12.5%
Location & working pattern

San Diego, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization
Equal Employment Opportunity: Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws. Job Functions and Work Environment:
More source context
The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. E-Verify and Right to Work Notices Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. IER Right to Work Poster (English/Spanish) E-Verify Participation Poster (English/Spanish)

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