Zodiac Solutions, Inc
Earnix Developer/Lead/Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Earnix Developer/Lead/Architect in San Antonio/Plano, TX, with a contract length of "unknown" and a pay rate of "unknown." Requires 3+ years in pricing analytics, predictive modeling, and data science, preferably in insurance/financial services. Proficiency in SQL, Python or R, and data visualization tools is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
San Antonio, Texas Metropolitan Area
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🧠 - Skills detailed
#Strategy #Classification #SQL (Structured Query Language) #Forecasting #Data Mining #Data Science #Datasets #Regression #Computer Science #A/B Testing #BI (Business Intelligence) #Visualization #ML (Machine Learning) #Mathematics #R #Statistics #Compliance #Microsoft Power BI #Python #Predictive Modeling #Tableau
Role description
Job Title/Role Name Technical Lead(Earnix developer)
Location: San Antonio/ Plano, TX
Mandatory skills:
• 3+ years of experience in:
• Pricing analytics
• Predictive modeling
• Data science
• Insurance/financial services analytics (preferred)
• Strong knowledge of:
• Statistical analysis
• Predictive modeling
• Machine learning concepts
• Data visualization
• Proficiency in:
• SQL
• Python or R
• Excel
• Tableau / Power BI
Job description:
Key Responsibilities
• Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques.
• Analyze large datasets to identify pricing trends, customer behavior, and profitability drivers.
• Support pricing strategy decisions through scenario analysis, forecasting, and simulations.
• Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
• Collaborate with business, underwriting, product, and engineering teams to implement pricing solutions.
• Validate model performance and ensure accuracy, consistency, and compliance with governance standards.
• Conduct A/B testing and impact analysis for pricing changes and product enhancements.
• Automate recurring analytical and reporting processes where possible.
• Translate business requirements into analytical solutions and technical specifications.
• Monitor market trends, competitor pricing, and customer behavior to recommend pricing adjustments.
• Support regulatory and audit requests related to pricing models and data usage.
Required Qualifications
• Bachelor’s degree in:
• Data Science
• Statistics
• Mathematics
• Economics
• Computer Science
• Actuarial Science
• Engineering
• Related quantitative field
• 3+ years of experience in:
• Pricing analytics
• Predictive modeling
• Data science
• Insurance/financial services analytics (preferred)
• Strong knowledge of:
• Statistical analysis
• Predictive modeling
• Machine learning concepts
• Data visualization
• Proficiency in:
• SQL
• Python or R
• Excel
• Tableau / Power BI
• Experience with:
• Regression models
• Classification models
• Forecasting techniques
• Data mining and segmentation
Experience
Job Title/Role Name Technical Lead(Earnix developer)
Location: San Antonio/ Plano, TX
Mandatory skills:
• 3+ years of experience in:
• Pricing analytics
• Predictive modeling
• Data science
• Insurance/financial services analytics (preferred)
• Strong knowledge of:
• Statistical analysis
• Predictive modeling
• Machine learning concepts
• Data visualization
• Proficiency in:
• SQL
• Python or R
• Excel
• Tableau / Power BI
Job description:
Key Responsibilities
• Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques.
• Analyze large datasets to identify pricing trends, customer behavior, and profitability drivers.
• Support pricing strategy decisions through scenario analysis, forecasting, and simulations.
• Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
• Collaborate with business, underwriting, product, and engineering teams to implement pricing solutions.
• Validate model performance and ensure accuracy, consistency, and compliance with governance standards.
• Conduct A/B testing and impact analysis for pricing changes and product enhancements.
• Automate recurring analytical and reporting processes where possible.
• Translate business requirements into analytical solutions and technical specifications.
• Monitor market trends, competitor pricing, and customer behavior to recommend pricing adjustments.
• Support regulatory and audit requests related to pricing models and data usage.
Required Qualifications
• Bachelor’s degree in:
• Data Science
• Statistics
• Mathematics
• Economics
• Computer Science
• Actuarial Science
• Engineering
• Related quantitative field
• 3+ years of experience in:
• Pricing analytics
• Predictive modeling
• Data science
• Insurance/financial services analytics (preferred)
• Strong knowledge of:
• Statistical analysis
• Predictive modeling
• Machine learning concepts
• Data visualization
• Proficiency in:
• SQL
• Python or R
• Excel
• Tableau / Power BI
• Experience with:
• Regression models
• Classification models
• Forecasting techniques
• Data mining and segmentation
Experience
