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Propensity Jobs (NOW HIRING)

Mercor

Patient Financial Services Expert

New York, NY · Remote

$92/hr

Familiarity with propensity-to-pay tools and patient payment technology platforms. * Proficiency with EHR systems and patient collections/billing platforms. * Exceptional written and verbal English ...

Heartland Credit Union IL

Full Time Teller

Springfield, IL · On-site

$15.65 - $20.92/hr

Heartland Credit Union is seeking a highly motivated and positive individual with a propensity to serve others to fill the position of full-time Teller. Our tellers engage with our members regarding ...

Heartland Credit Union

Full Time Teller

Springfield, IL · On-site

$15.75 - $19.75/hr

Heartland Credit Union is seeking a highly motivated and positive individual with a propensity to serve others to fill the position of full-time Teller. Our tellers engage with our members regarding ...

Fiserv, Inc.

Senior Data Scientist

Alpharetta, GA · On-site

Build and refine models for segmentation, recommendation, propensity, similarity matching, ranking, personalization, and offer relevance. * Partner with Data & ML Engineers to define feature ...

Monitise

Senior Data Scientist

Alpharetta, GA

Build and refine models for segmentation, recommendation, propensity, similarity matching, ranking, personalization, and offer relevance. * Partner with Data & ML Engineers to define feature ...

Hagerty

Senior Data Scientist

Charleston, WV

Build well-calibrated predictive models for member behavior across the P&C and subscription lifecycle-churn/retention, propensity to buy, and propensity to lapse or renew. * Develop next-best-action ...

The Hagerty Group, LLC

Senior Data Scientist

Folsom, PA · On-site

Build well-calibrated predictive models for member behavior across the P&C and subscription lifecycle-churn/retention, propensity to buy, and propensity to lapse or renew. * Develop next-best-action ...

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Showing results 21-40

All JobsPropensity Jobs

Propensity information

See salary details

$64.5K

$126.7K

$193.5K

How much do propensity jobs pay per year?

As of Aug 22, 2026, the average yearly pay for propensity in the United States is $126,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Propensity jobs?

Cities with the most Propensity job openings:

What states have the most Propensity jobs?

States with the most job openings for Propensity jobs include:

What job categories do people searching Propensity jobs look for?

The top searched job categories for Propensity jobs are:

Propensity jobs near you
Infographic showing various Propensity job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,736 per year, or $60.9 per hour.

Pega Data Analytics Engineer

Compass Pointe Consulting

Vienna, VA • On-site

$114K - $138K/yr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

Job description


Senior Data Analytics Engineer - Pega CDH / Databricks
Position Overview
We are seeking a highly analytical and technically skilled Senior Data Analytics Engineer to support the development, implementation, and monitoring of advanced Customer Decision Hub (CDH) modeling capabilities. This role will focus on enabling faster analysis, improving data accessibility, and standardizing analytical processes across enterprise marketing and analytics teams.
The ideal candidate will have strong experience working within Databricks environments using Python/PySpark and SQL, along with expertise in large-scale data analysis, model performance monitoring, and customer interaction analytics. Experience with Pega Customer Decision Hub (Pega CDH) is strongly preferred.
This position will partner closely with analytics, modeling, marketing, and decisioning teams to create scalable analytical frameworks, reusable notebooks, and actionable monitoring solutions that improve customer engagement and model effectiveness.
Key Responsibilities
  • Develop and maintain a library of reusable queries, scripts, and analytical assets to replicate CDH customer contextual objects within external analytical platforms such as Databricks and ASL.
  • Standardize analytical processes and data retrieval methodologies for broader team usage and consistency.
  • Build scalable data pipelines and analytical frameworks using Python/PySpark and SQL.
  • Create reusable Databricks notebooks that enable self-service analytics across multiple business functions.
  • Develop standardized analytical solutions for interaction-to-outcome attribution analysis, model-to-interaction mapping, predictor performance tracking, member profile mapping, distribution analysis, arbitration analysis, and channel engagement analysis.
  • Support implementation and analysis of new model-related capabilities and features.
  • Establish baseline KPIs and monitoring frameworks for new modeling initiatives.
  • Design and support back-testing methodologies for model enhancements and propensity threshold analysis.
  • Monitor model maturity, performance trends, and operational effectiveness.
  • Develop near real-time monitoring approaches to identify low propensity scores, ineffective actions, and engagement gaps.
  • Improve visibility into model health and Next Best Interaction (NBI) program effectiveness.
  • Design analytical frameworks for eligible audience monitoring and treatment analysis.
  • Correlate interactions with demographic and behavioral data for deeper customer insights.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Mathematics, Statistics, or related field (or equivalent experience)
  • Strong hands-on experience with Databricks environments
  • Advanced proficiency in Python, PySpark, and SQL
  • Experience building reusable analytical frameworks and notebooks
  • Experience performing large-scale data analysis and data modeling
  • Strong understanding of model performance monitoring and KPI development
  • Ability to translate business questions into scalable analytical solutions

Preferred Qualifications
  • Experience with Pega Customer Decision Hub (Pega CDH)
  • Experience supporting marketing analytics, customer engagement, or decisioning platforms
  • Familiarity with propensity models, arbitration logic, and customer interaction analytics
  • Experience with monitoring frameworks and real-time analytical alerting
  • Understanding of customer journey analytics and Next Best Action/Interaction programs
  • Experience working in enterprise analytics or customer intelligence environments

Key Skills
Databricks, Python, PySpark, SQL, Data Engineering, Data Analytics, Model Monitoring, KPI Development, Customer Analytics, Predictive Modeling, Marketing Analytics, Notebook Development, Data Standardization, Decisioning Analytics, Stakeholder Collaboration
Success Metrics
  • Creation of reusable and scalable analytical assets for enterprise use
  • Reduction in time required to conduct CDH and model analysis
  • Improved visibility into model health and customer engagement effectiveness
  • Increased consistency and repeatability of analytical processes
  • Enhanced ability for teams to perform self-service analytics and monitoring

We offer Medical, Dental, Vision, Basic Life, Short-Term Disability, Accident, Term Life, Whole Life, and 401k for all W2 Consultants. A benefit overview will be provided as requested.

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