Healthcare Data Scientist: Build & Deploy Models (Remote)

CHG Healthcare, Inc.; Salt Lake City (UT); Remote; USD 104,000 - 201,000; Full time

Benefits offered by this job

401(k) retirement plan with company if

Healthcare benefits

Flexible work schedules

Work-from-home options

Tuition reimbursement

Job summary

CHG Healthcare, Inc. is seeking a Data Scientist in Salt Lake City, with remote options, to build and ship ML models that empower Sales and other business partners to make faster, better decisions.

You will collaborate with data engineers and analysts to turn raw data into reliable features, validate ideas, and explain results in plain language. The role involves owning projects from question to production with light guidance.

Qualifications

• Bachelor's degree or equivalent in a quantitative field; 3–5 years ML/statistical modeling.
• 3–5 years of Python or R for data analysis and modeling; 3–5 years SQL experience.
• Experience with data preprocessing, feature engineering, and data visualization tools or libraries.

Responsibilities

• Design, build, and validate machine learning and statistical models that solve defined business problems.
• Explore large datasets to find trends and insights, and partner with data engineers to create and refine the features your models need.
• Design and analyze experiments to measure the impact of data-driven initiatives.
• Present findings to non-technical stakeholders in a clear way that supports decisions.
• Work with engineers, product managers, and business partners in an agile environment to put models into products and processes, following CHG data privacy and security standards

Skills

Python

R

SQL

Data preprocessing

Feature engineering

Data visualization

Stakeholder communication

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

Snowflake

dbt

Job description

CHG Healthcare, Inc. is seeking a Data Scientist in Salt Lake City, with remote options, to build and ship ML models that empower Sales and other business partners to make faster, better decisions.

You will collaborate with data engineers and analysts to turn raw data into reliable features, validate ideas, and explain results in plain language. The role involves owning projects from question to production with light guidance.