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# Data Scientist

- **Company:** Everforth Apex
- **Location:** Greenwood Village, CO, United States
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Bash Shell, Big Data, Data Visualization, Python (Programming Language), Logistic Regression, Machine Learning, Shell Script, SQL Databases, Data Processing, Feature Engineering, Random Forest, Integration Tests, Information Technology, Machine Learning Operations
- **Published:** September 26, 2026
- **Apply:** https://www.dice.com/job-detail/abfe698e-4ef5-471b-ae47-50f7468bca2d

## About the Role

* Experience with different models, including logistic regression, linear, XG Boost, and Random Forest.
 * Proficiency in Python.
 * Strong communication skills for presenting findings to non-technical stakeholders.
 * An advanced degree in computer science, mathematics, statistics, physics, operations research, or other quantitatively focused fields.

Preferred Qualifications

 * Advanced proficiency in Python for data wrangling, feature creation, and analysis.
 * Experience with ad hoc data analysis and communicating insights.
 * Expertise in building and validating machine learning models.
 * Strong storytelling and data visualization skills.
 * Experience in big data technologies.
 * Understanding of data source integration and working with complex, raw datasets.
 * Experience with Bash or shell scripting is a plus.

## Description

A data science team is responsible for developing analytics solutions for product owners. As part of this team, the Data Scientist will play a pivotal role in aggregating and visualizing ML model results, conducting ad hoc analyses, and creating new ML models and pipelines. This role requires a self-starter who can drive new projects forward from ideation to model development to delivery, ensuring alignment with existing ML model paradigms and business objectives., * Develop and maintain ML models and pipelines.

 * Aggregate and visualize model results for internal and external audiences.
 * Conduct data exploration and ad hoc analyses using SQL and Python.
 * Perform feature engineering and build models, including training and validation.
 * Present insights and results to technical teams and senior leadership.
 * Design, monitor, and test production ML workflows on AWS in collaboration with the MLOps team.
 * Implement unit and integration tests to ensure production reliability and accuracy.
 * Contribute to best practices in model deployment, data quality, and cloud resource management.


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