Build and deploy predictive and statistical models
Develop scalable data pipelines using Python and SQL
Apply forecasting, experimentation, and analytics techniques
Partner closely with product managers and engineers
Monitor data quality and model performance in production Background they’re looking for
Strong Python and SQL skills
Not Met Priorities
What still needs stronger evidence
Requirements
Develop scalable data pipelines using Python and SQL
Partner closely with product managers and engineers
Monitor data quality and model performance in production Background they’re looking for
Experience in data science, applied analytics, or machine learning
Strong Python and SQL skills
Good statistical foundations (regression, time series, experimentation)
Exposure to cloud platforms or distributed data environments
Preferred Skills
Experience in data science, applied analytics, or machine learning
Experience in SaaS or complex data environments preferred
Education
(Not required)
– statistical and machine learning modeling
Data Scientist Location: Salt Lake City Salary: Up to $134,000 base + benefits About the Company I’m currently partnering with a well-established SaaS company operating in a regulated industry, supporting thousands of organizations globally. They’re expanding their analytics function and are looking to hire a Data Scientist to work closely with Product and Engineering on predictive modeling, analytics, and data-driven features used directly in production. What the role looks like This is a hands-on data science position focused on real use cases rather than pure research or reporting. You’ll be involved across the full lifecycle: data extraction and transformation statistical and machine learning modeling experimentation and forecasting deployment and monitoring The work feeds directly into customer-facing products and operational decision-making. Key responsibilities Build and deploy predictive and statistical models Develop scalable data pipelines using Python and SQL Apply forecasting, experimentation, and analytics techniques Partner closely with product managers and engineers Monitor data quality and model performance in production Background they’re looking for Experience in data science, applied analytics, or machine learning Strong Python and SQL skills Good statistical foundations (regression, time series, experimentation) Exposure to cloud platforms or distributed data environments Experience in SaaS or complex data environments preferred
Harnham
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Salt Lake City Metropolitan Area