Data Science Engineer

Nuvia Dental Implant Center; Saint George (UT); Remote; USD 90,000 - 110,000; Full time

Job summary

A leading dental implant firm in Utah is seeking a Data Science Engineer to enhance their data infrastructure. The role involves designing data architectures, writing efficient SQL queries, and building Python pipelines. Ideal candidates should have 3+ years of relevant experience and a solid understanding of ML/AI concepts. This position offers flexibility in a remote environment.

Qualifications

• 3+ years of experience in data engineering or data science roles.
• U.S.-based and available during standard working hours.
• Ability to work independently and collaboratively.

Responsibilities

• Design, maintain, and optimize data architecture.
• Write and manage large, efficient SQL queries.
• Build and maintain Python scripts and pipelines.

Skills

Advanced SQL

Basic Python knowledge

Understanding of ML/AI

Data-driven recommendations

Job description

Role

The Data Science Engineer at Nuvia plays a critical role in maintaining, scaling, and improving our data infrastructure and systems. This individual is expected to lead and manage complex data initiatives across teams, ensuring seamless data architecture, high-performance querying, and clean pipelines.

Responsibilities

• Design, maintain, and optimize data architecture to support business operations and analytics.
• Write and manage large, efficient SQL queries across varied datasets.
• Build and maintain Python scripts and pipelines to support data transformations, reporting, and machine learning workflows.
• Collaborate cross-functionally with engineering, operations, marketing, and leadership to ensure accurate and accessible data.
• Monitor data systems to ensure integrity, uptime, and scalability.
• Implement data best practices, including version control, testing, and documentation.
• Provide guidance on causality, correlation, and data-driven insights that inform business decisions.
• Stay current with trends in AI, LLMs, and modern data tools to enhance capabilities.

Requirements

• U.S.-based and available during standard working hours (with flexibility for cross-team collaboration).
• 3+ years of experience in data engineering or data science roles or advanced data analytics
• Advanced proficiency in SQL (required).
• Basic Python knowledge (required)
• ML/AI understanding should be something you are constantly learning more about
• Ability to translate data into clear business recommendations.
• Able to work independently and collaboratively in a remote environment.

Results

• Data Integrity and Cleanliness: Datasets used across teams are validated, reliable, and well-documented. No one should have to ask, "are you sure thats accurate."
• Efficient Query Organization & Structure: Ability to collaborate and gain understanding from everyone on the data team to reduce issues and expedite troubleshooting.
• Insightful Analysis: Deliver high-impact insights and data interpretations that drive business outcomes.