Senior Data Scientist - Decision Analytics

We are seeking a highly experienced Senior Data Scientist - Decision Analytics to join our advanced analytics team. The ideal candidate will have extensive experience in Decision Analytics, Data Science, Statistical Modeling, SQL, Python, and Quantitative Analysis with a proven ability to measure decision quality, evaluate business outcomes, and deliver actionable insights that drive strategic business decisions.

This role requires strong analytical expertise, excellent communication skills, and the ability to translate complex analytical findings into practical business recommendations while ensuring fairness, compliance, and measurable business impact.

Key ResponsibilitiesDecision Analytics & Business Insights

• Design and implement decision analytics frameworks to evaluate decision quality and business performance.
• Analyze structured and unstructured datasets using SQL, Python, and statistical methodologies.
• Develop analytical models to measure business outcomes, customer behavior, and operational effectiveness.
• Perform decision quality analysis and identify opportunities for process optimization.
• Conduct funnel analysis to evaluate customer journeys and business performance.

Statistical Analysis & Experimentation

• Design, execute, and analyze experiments including A/B testing and hypothesis testing.
• Develop statistical models for predictive analytics and impact measurement.
• Measure STARS impact attribution and business value generated through analytical initiatives.
• Interpret complex analytical results and provide actionable recommendations to business stakeholders.

Responsible AI & Compliance

• Monitor model fairness, bias, and equity using industry best practices.
• Ensure compliance with data governance policies and regulatory standards.
• Prepare compliance reports and maintain analytical documentation.
• Support responsible AI initiatives and model governance activities.

Collaboration & Stakeholder Management

• Collaborate with business leaders, product managers, engineering teams, and data engineers to deliver analytics solutions.
• Translate business requirements into analytical solutions and measurable KPIs.
• Present analytical findings through dashboards, reports, and executive presentations.
• Communicate complex analytical concepts effectively to technical and non-technical audiences.

• 10+ years of experience in Data Science, Decision Analytics, Quantitative Analytics, Applied Statistics, or Business Analytics.
• Strong expertise in Python and SQL.
• Extensive experience with statistical analysis, predictive modeling, and quantitative analytics.
• Proven experience measuring decision quality and business outcomes.
• Hands-on experience with experiment design, A/B testing, and impact measurement.
• Experience with funnel analytics and customer behavior analysis.
• Strong understanding of fairness, bias, and equity monitoring techniques.
• Experience with compliance reporting and data governance.
• Excellent communication, presentation, and stakeholder management skills.
• Strong analytical thinking and problem-solving abilities., * Experience in Healthcare, Life Sciences, Financial Services, Insurance, or other regulated industries.
• Experience with Responsible AI, AI Governance, or Model Risk Management.
• Knowledge of Machine Learning model evaluation and monitoring.
• Experience with AWS, Azure, or Google Cloud Platform (GCP).
• Experience using Tableau, Power BI, or other visualization platforms.
• Familiarity with enterprise-scale analytics and decision intelligence platforms.

Technical Skills

• Data Science
• Decision Analytics
• Decision Quality Analysis
• Python
• SQL
• Statistical Analysis
• Quantitative Analytics
• Predictive Modeling
• Machine Learning
• A/B Testing
• Experiment Design
• Business Outcome Measurement
• Funnel Analytics
• Fairness, Bias & Equity Monitoring
• STARS Impact Attribution
• Compliance Reporting

$50 - $60 an hour - Full-time, Contract