Location: United States (Remote) or Hybrid – American Fork, UT (2–3 days per week)
Job Overview
A leading healthcare technology company is seeking an experienced Data Scientist to design and deliver complex, scalable data solutions that support strategic decision-making across the organization. This role operates at the intersection of data architecture, analytics, and execution, with ownership of high-impact initiatives spanning multiple teams and domains.
The position is suited for a senior-level professional who can balance near-term delivery with long-term data strategy, provide technical leadership, and translate business needs into actionable, data-driven outcomes.
Key Responsibilities
Data Strategy & Architecture
- Partner with product and engineering teams to convert business requirements into analytical frameworks and data-driven solutions
- Architect scalable data systems, pipelines, and analytics platforms that support enterprise-wide use cases
- Establish data governance standards and lead data quality initiatives
Advanced Analytics & Modeling
- Design and implement advanced statistical models and predictive analytics
- Develop analytics solutions that deliver meaningful business intelligence and operational efficiency
- Productionize models for both batch and streaming data workloads
Insights & Communication
- Deliver actionable insights through dashboards, visualizations, and reporting
- Present complex findings clearly to technical and non-technical stakeholders
- Serve as a reference point and best-practice leader for other teams
Data Engineering & Operations
- Optimize data pipelines and warehouse performance
- Build automated monitoring for data integrity and model performance
- Maintain awareness of emerging data technologies and industry best practices
Travel & Work Environment
- Travel: Less than 10%
- Office setting with no special physical requirements
Required Qualifications
- 10+ years of experience in quantitative analysis and data science
- Expert-level SQL skills, including data modeling and data warehouse optimization (Redshift experience preferred)
- Strong understanding of data lake architectures, ETL processes, data catalogs, and data lineage
- Experience designing and operating scalable data pipelines
- Familiarity with stream processing technologies such as Apache Flink, Spark, and Kafka
- Hands-on experience with AWS data platforms, including EMR cluster management and performance optimization
- Strong analytical, problem-solving, and independent decision-making abilities
- Excellent written, verbal, and data-driven communication skills
- Proven ability to collaborate across technical and business teams
Preferred Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
- Industry experience in healthcare, finance, or SaaS analytics
Compensation
- Salary Range: $170,000 – $220,000 (USD)
- Final compensation is determined based on experience, skills, location, labor market conditions, and internal equity
- This role is also eligible for a performance-based bonus (not included in the posted range)
Benefits Overview
- Competitive compensation and comprehensive benefits package
- Medical, dental, and vision insurance
- 401(k) plan with employer match
- Paid time off, sick leave (where applicable), and paid parental leave
- Short-term disability and income protection programs
- Health savings and flexible spending accounts
- Education assistance and scholarship programs
- Employee wellness and work-life assistance programs
- Volunteer and community engagement opportunities
Company Overview
The employer is a global leader in healthcare and dental technology, delivering integrated management, analytics, communication, and marketing software solutions. The organization places a strong emphasis on innovation, collaboration, professional growth, and work-life balance, and is consistently recognized as a top workplace within its region.
Equal Opportunity & Work Authorization
This employer is an Equal Employment Opportunity organization and considers applicants without regard to legally protected characteristics.
Note: The employer is currently unable to hire candidates residing in certain U.S. states and territories, including Alaska, Delaware, Hawaii, Louisiana, Nebraska, North Dakota, Rhode Island, South Dakota, Vermont, West Virginia, Washington DC, Puerto Rico, and other U.S. territories.