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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Wakely Consulting Group, LLC - **Location:** Saint Paul, MN, United States - **Experience:** Expert - **Salary:** $120,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Health Informatics, Information Systems, Databases, Data Validation, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Structures, Standard Sql, SQL Databases, Freeform SQL, Information Technology - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-saint-paul-mn--472c313d-e1eb-4133-8875-f290a47fb91d ## About the Role Data Science, Problem Solving Skills, Data Quality, Analysis Skills, Regulatory Reports, Operations Processes, Data Science, Customer Support/Service, Database Extract Transform and Load (ETL), Root Cause Analysis, Minimum of a bachelor's degree in data science, biostatistics, epidemiology, computer science, mathematics, statistics, information systems, healthcare informatics, or a related field is required. Experience Minimum of 5 years of experience working with healthcare data, analytics, data investigation, data quality, reporting, or data integration processes is required. Minimum of 3 years of experience developing and analyzing SQL queries is required. Experience with healthcare claims, encounter, enrollment, eligibility, provider, financial, or regulatory-reporting data is preferred. Knowledge, Skills and Abilities * Advanced SQL query development and data analysis skills. * Ability to review and understand complex SQL code, ETL processes, data transformations, and business rule implementations. * Knowledge of healthcare claims, encounter, enrollment, eligibility, provider, financial, and regulatory-reporting data. * Ability to perform root-cause analysis and resolve complex data and processing issues. * Ability to interpret technical specifications, business requirements, data structures, and processing workflows. * Strong written and verbal communication skills. * Strong interpersonal skills and ability to work effectively with technical and non-technical stakeholders. * Strong project management, organization, and time management skills. * Ability to manage multiple projects, investigations, and priorities concurrently. * Strong problem-solving, analytical, and critical-thinking skills. * Strong attention to detail and commitment to delivering accurate, high-quality work. * Ability to learn new business domains, systems, and data structures quickly. * Self-motivated with a commitment to continuous learning and process improvement. * Ability to use technology and AI tools ethically and effectively to improve efficiency, quality, and processes while protecting confidential information and applying sound judgment. ## Description The Senior Data Scientist I investigates and resolves complex healthcare data issues across client implementations, regulatory reporting, operational processes, and data integration workflows. This role analyzes healthcare data, SQL code, ETL processes, technical specifications, and business rules to identify root causes, validate processing results, and recommend solutions that support data accuracy, client deliverables, operational processes, and encounter submission capabilities. The Senior Data Scientist I collaborates with technical, operational, client service, and business teams, documents findings and recommendations, and communicates analytical results to technical and non-technical audiences., Work Performed and Job Requirements * Healthcare Data Analysis * Investigates and resolves complex healthcare data issues, discrepancies, and operational questions. * Performs root-cause analysis by reviewing source data, SQL code, ETL processes, business rules, and processing workflows. * Analyzes claims, encounter, enrollment, eligibility, provider, and financial data to identify trends and data issues that affect client deliverables and operational processes. * Data Quality and Technical Review * Writes and maintains complex SQL queries for data validation, analysis, troubleshooting, reconciliation, and reporting. * Reviews data transformations, ETL processes, technical specifications, and business rules to identify data quality and processing issues. * Validates processing results and recommends corrective actions to improve data accuracy and reporting. * Collaboration and Solution Development * Collaborates with developers, analysts, operations teams, client service teams, and business stakeholders to define problems, evaluate impacts, and implement solutions. * Translates analytical findings into recommendations that support data integration, reporting, operational processes, and encounter submission capabilities. * Serves as a subject matter resource for assigned clients, data domains, business rules, and processing methodologies. * Documentation and Communication * Documents findings, recommendations, data issues, business rules, and resolutions. * Communicates technical and analytical findings to technical and non-technical audiences. * Prepares analysis and supporting documentation for internal stakeholders, clients, and project teams. * All other duties as assigned.