Senior Marketing Data Scientist

EXL

Senior Marketing Data Scientist optimizing lending marketing strategies for EXL’s clients. Driving campaign analytics, experimentation, dashboards, and direct-mail performance.

Posted 8/13/2026full-timeSan Francisco • California, New York • 🇺🇸 United StatesSenior💰 $130,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, model creation, and marketing strategy development to drive business growth. Proficient in managing end-to-end campaign processes and translating complex data insights into actionable recommendations for stakeholders.

Highest-signal resume keywords

Data AnalysisSQL ProgrammingPython/R ProgrammingTableau ProficiencyDirect Mail Campaign Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentStatistical AnalysisExperimentation DesignKPI DefinitionA/B Testing

Soft Skills

Strong Communication SkillsBusiness AcumenCuriosityPresentation SkillsCollaboration

Tools & Technologies

TableauAirflowSnowflake

Industry Keywords

Financial ServicesBanking ProductsConsumer Bureau DataFunnel OptimizationMarketing Channels

Tech Stack

Tools & technologies

AirflowPythonSQLTableau

About the role

Key responsibilities & impact

Drive growth of business and member products through data analysis, model creation, marketing strategy development, and performance monitoring across channels
Collaborate with marketing managers, channel owners, and external partners to identify new opportunities and initiatives
Analyze marketing strategy effectiveness, including funnel efficiency, CPA, and ROI, and provide data-driven recommendations
Design, analyze, and interpret A/B tests and quasi-experiments
Design and validate campaign lifecycle processes, data pipelines, model scoring, and execution
Define KPIs, design reporting frameworks, and develop self-service dashboards
Manage end-to-end Direct Mail campaigns, including underwriting, marketing, suppression rules, coding, validation, approvals, file ingestion, and performance tracking
Conduct deep-dive analyses of funnels, user behavior, monetization, and retention to identify growth and efficiency opportunities
Translate business objectives into actionable data-driven tactics and campaigns
Provide timely partner analyses and solution-oriented recommendations
Communicate complex data insights to senior leadership and partners through compelling narratives

Requirements

What you’ll need

Bachelor's degree in Computer Science, Math, Physics, Engineering, or a quantitative field required
5+ years of experience in a data science or analytics role
Strong communication skills and comfort working directly with Product and Business leaders
Direct mail experience and ability to manage campaign selection and execution
Strong programming skills in SQL and Python/R
Proficiency in Tableau
Experience with growth, lifecycle, or funnel optimization problems
Experience building data pipelines with Airflow, preferably in Snowflake
Experience with experimentation design, hypothesis testing, and statistical analysis
Knowledge of statistical modeling or machine learning is a plus
Ability to operate effectively in ambiguous, fast-moving product environments
Ability to work independently and collaboratively and drive projects to completion
Strong business acumen, curiosity, communication, and presentation skills, including presenting to leadership
Strong preference for financial services industry experience and familiarity with banking products and marketing channels
Experience with consumer bureau data, including Experian/TU
Knowledge of business bureau data is good to have

Benefits

Comp & perks

Bonus
Benefits
Health and welfare benefits information provided via the company's careers and benefits page