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Pega Data Scientist Jobs (NOW HIRING)

Pega Data Science and Analytics

Vienna, VA · On-site

$56.50 - $74/hr

Pega Data Science and Analytics Location: Hybrid or Remote reporting to Vienna Duration: Long term Contract Description: Skillset The primary technical skills required would be familiarity with the ...

Data Scientist

Jersey City, NJ · On-site

$90 - $150/hr

Configure and support NBA implementations within Pega, including launch readiness and process ... Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science ...

Intermediate Pega Developer

Washington, DC · On-site

$63.50 - $83.25/hr

TMC Technologies is seeking a skilled Pega Developer to design, develop, and deploy Pega ... of physics, software, nanotechnology, and data science. Founded in 2000, the company is ...

Pega Developer

Charlotte, NC · On-site

$55 - $72/hr

... Data Scientist or equivalent PEGA certification Additional Required Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years ...

Develop case types, workflows, data objects, views, actions, validations, and business rules using ... Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology ...

Senior Pega Developer

Washington, DC · On-site

$63.50 - $83.25/hr

Develop simple data queries for existing or proposed databases or data repositories. * Provide ... Bachelor's degree in technology or the sciences, or industry-equivalent experience required. * 7+ ...

Pega Developer

Charlotte, NC · On-site

$55 - $72/hr

Data Management * Risk Management * Test Engineering Education Qualifications * 4 Year Degree in ... Science, Engineering or related Discipline

Bachelor's degree or foreign equivalent in Computer Science, Mechanical Engineering or a related ... for data manipulation and retrieval. 3. Applying LSA certified experience to assist design ...

Senior Pega Developer

Livonia, MI · On-site

$138K - $190K/yr

Bachelor's degree or foreign equivalent in Computer Science, Mechanical Engineering or a related ... for data manipulation and retrieval. 3. Applying LSA certified experience to assist design ...

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Pega Data Scientist information

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$25K

$117.2K

$195.5K

How much do pega data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for pega data scientist in the United States is $117,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $147,000.00 per year, depending on experience, location, and employer.

What is a Pega Data Scientist?

A Pega Data Scientist is responsible for leveraging data and analytics within Pega’s AI-driven decisioning and workflow automation platform. They design and implement predictive models, analyze customer data, and optimize decision strategies to improve business outcomes. This role requires expertise in machine learning, data analysis, and Pega’s Customer Decision Hub (CDH) to drive real-time decision-making. They collaborate with stakeholders to enhance customer engagement, personalization, and automation. Strong programming, statistical, and problem-solving skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Pega Data Scientist?

A successful Pega Data Scientist typically requires strong analytical skills, expertise in data modeling, machine learning, and a background in statistics or computer science. Familiarity with Pega’s platform, predictive analytics, and certifications such as Pega Certified Decisioning Consultant (PCDC) are highly valued. Excellent problem-solving, communication, and collaboration abilities help in translating complex data insights into actionable business strategies. These competencies are essential to leverage Pega’s decisioning capabilities, improve business processes, and drive impactful organizational outcomes.

What are some typical challenges faced by a Pega Data Scientist in their daily work?

Pega Data Scientists often encounter challenges like integrating disparate data sources, ensuring high data quality, and designing predictive models that align with ever-evolving business needs. Collaborating across departments to translate business objectives into technical data solutions can require strong communication and problem-solving skills. Additionally, keeping up with platform updates and evolving machine learning techniques is an ongoing responsibility. However, these challenges foster continual professional growth and the opportunity to create significant impacts within organizations using Pega’s advanced analytics capabilities.

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What cities are hiring for Pega Data Scientist jobs?

Cities with the most Pega Data Scientist job openings:

What states have the most Pega Data Scientist jobs?

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Infographic showing various Pega Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,216 per year, or $56.4 per hour.

PEGA Data Science & Analytics

INSPYR Solutions

Merrifield, VA • On-site

$56 - $73.50/hr

Other

Medical, Retirement

Re-posted 8 days ago


Job description

Title: PEGA Data Science & Analytics
Location: Vienna, VA (HYBRID)
Duration: 6-month contract with possible extensions
Work Requirements: , Holders or Authorized to Work in the U.S.
 
PEGA Data Science & Analytics
To enable and simplify analysis required for faster implementation of new CDH modeling features. Looking for a candidate with 5-10 years of experience + Master''s degree and 1-2 years of strong data science and coding experience.
Prioritized Deliverables:
1. Library of required queries/scripts to replicate the CDH customer contextual object in external systems (databricks/asl) for deeper analysis
2. Standardize format for executing key data retrieval steps for use by the broader team
a. Interaction to outcome attribution (account opens)
b. Model data to interaction mapping (model performance, predictor performance)
c. Member Profile to interaction mapping
3. Create notebooks for the broader team to use to answer specific questions
a. Distribution Analysis
b. Arbitration Analysis
c. Channel Engagement Analysis

Skillset:
The primary technical skills required would be familiarity with the databricks environment and proficiency with Python/PySpark and SQL. Pega CDH experience is preferred.
Some examples of the work as it directly relates to GEM
• Initial Analysis to Support New Model Related Features
o Propensity Thresholds
▪ Creating the back-testing approach (MDSA had no appetite at the time)
▪ Establishing baseline KPIs
▪ Creating the monitoring approach
o Initial Model Maturity Analysis (though Morgan’s team is starting to be involved)
▪ Establishing baseline KPIs
▪ Gauging the impact of enabling the feature
▪ Creating the ongoing monitoring approach
• On-going Analysis
o Model Performance Monitoring
▪ Though MDSA owns the code to run the notebooks, when changes must be made to the code GEM is heavily involved in creating the new logic
o NBI Program Model Health
▪ This exists in some form today, but it is not in a state that is readily available to be shared with leaders in O&A, MDSA, or broader Marketing
Broader O&A Analytical Gaps: (Things Red, Sumant, and Tai typically scramble to create which should be readily available)
• “Actionable Monitoring Data:” Standardizing how we conduct this sort of analysis for consistency
o Capture when propensity scores are exceptionally low closer to real-time (1 day)
o Capture when actions are not providing value to their intended objective (acquisition, engagement)
• Eligible Audience Monitoring
o Identifying Members eligible for different actions/treatments (simulation environment can help after going live to a certain extent)
o Tying interactions back to key Member demographic data for more granular analysis (this sort of analysis should be standardized so it can easily be done by all Members of O&A)

Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • …and much more!
 
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.