Data Scientist

This position will be remote in the United States or hybrid in our American Fork, UT office 2-3 days per week.

As a Data Scientist, you will lead the design and development of complex data systems that drive strategic value across the organization. You'll operate at the intersection of data architecture, analytics, and execution – guiding technical direction, mentoring engineers, and ensuring alignment with business goals. You'll take ownership of high‑impact data initiatives spanning multiple teams and domains. You'll proactively identify opportunities, architect for scalable solutions, and balance short‑term needs with long‑term vision.

Your work will address key business objectives while serving as a reference and pattern for other teams.

• Partner with product and engineering teams to translate business requirements into data‑driven solutions and analytical frameworks
• Design and implement advanced statistical methodologies and predictive models to enhance data analysis capabilities
• Deliver clear actionable insights through effective data visualization and comprehensive reporting to key stakeholders
• Drive operational efficiency by developing and deploying analytics solutions that provide meaningful business intelligence
• Lead data quality initiatives and establish data governance standards
• Architect and optimize data pipelines for scalable analytics solutions
• Develop automated monitoring systems for data integrity and model performance
• Maintain expertise in emerging data technologies and industry best practices while continuously improving analytical processes

• Travel typically less than 10%
• Office environment with no special physical demands required

• 10+ years of experience in quantitative analysis and data science
• Expert proficiency in SQL, data modeling, and data warehouse optimization, including Redshift query and table design
• Deep understanding of data lake architectures, ETL processes, data catalog management, and data lineage/impact analysis
• Experience designing and optimizing data pipelines and product ionizing models for both batch and streaming data workloads
• Familiarity with stream processing technologies, including Apache Flink, Spark, Kafka
• Hands‑on experience with AWS data platforms, including EMR cluster management and performance optimization
• Ability to apply industry best practices across analytics, data engineering, and applied data science workflows
• Analytical, problem‑solving, and independent decision‑making skills to resolve complex data challenges
• Effective verbal, written, and data‑driven communication, including presenting complex findings to diverse audiences
• Excellent collaboration and partnership skills across technical and non‑technical teams

• Bachelor’s or Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
• Domain experience in healthcare, finance, or SaaS analytics

The posted range for this position is $170,000 - $220,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. This position is eligible for a bonus target not reflected in the range.

• A great place to work with fantastic people
• A career in the healthcare technology industry, with the ability to grow and realize your full potential
• Competitive compensation
• Excellent benefits package – Medical, Dental and Vision Coverage, 401K Plan with Company Match, Paid Time Off (PTO), Sick Leave (if applicable), Paid Parental Leave, Short Term Disability, Income Protection, Work Life Assistance Program, Health Savings and Flexible Spending Accounts, Education Benefits, Worldwide Scholarship Program, Volunteer Opportunities, and more

Henry Schein One is the global leader in dental management, analytics, communication, and marketing software. Our company’s products and services work together as one simple solution to provide users with a seamless and integrated experience. Our company thrives because of our people. We believe in supportive, diverse, and inclusive workforce, inclusive environments, professional development…