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# Data Scientist

- **Company:** Phillips, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,000 - $160,000
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Dictionary, Data Visualization, Document-Oriented Databases, Python (Programming Language), Power BI, Standard Sql, Tableau (Software), Model Validation, Git, Data Analytics, Machine Learning Operations, Looker Analytics, Software Version Control
- **Published:** October 27, 2026
- **Apply:** https://www.builtincolorado.com/job/data-scientist/11936164?handler=ApplyRedirect

## About the Role

* Minimum of 5 years of experience in data science or data analytics roles.
 * Advanced Excel and SQL skills with hands-on experience building scalable transformations and data models.
 * Proficiency in Python and/or R for analytics, automation, and modeling.
 * Experience developing forecasting, valuation, pricing, or portfolio performance models.
 * Experience with BI and visualization tools such as Power BI, Tableau, or Looker.
 * Strong analytical thinking with the ability to translate complex data into actionable business insights.
 * Ability to work effectively in ambiguous, open-ended problem spaces.
 * Strong written and verbal communication skills with both technical and non-technical audiences.
 * Strong understanding of statistical concepts, predictive modeling techniques, machine learning workflows, model validation methodologies, and model performance evaluation.
 * Preferred Qualifications
 * Familiarity with Git or version control systems.
 * Background in financial services, portfolio analytics, forecasting, or operations analytics.
 * Strong background in predictive, descriptive, and prescriptive modeling techniques.
 * Understanding tree-based and survival models.

Core Competencies:

 * Drives Results
 * Decision Quality
 * Instills Trust
 * Balances Stakeholders
 * Collaborates
 * Resourcefulness
 * Nimble Learning
 * Plans and Aligns
 * Optimizes Work Processes
 * Tech Savvy

## Description

Location: Remote. The successful candidate must be based in the US, and able to work Eastern Standard hours., * Develop predictive and prescriptive models used to forecast collections and support portfolio acquisition and business strategy decisions.

 * Deploy, monitor, or maintain predictive or prescriptive models in production environments.
 * Support analysis and models for portfolio acquisition opportunities.
 * Apply statistical and machine learning techniques to improve hybrid forecasts.
 * Design, build, and maintain robust data pipelines, transformations, and analytical workflows using SQL, Python and/or R.
 * Contribute to scalable data models and schemas to support portfolio valuation, forecasting, reporting, and operational analytics.
 * Implement data quality rules, validation logic, automated QA checks, and monitoring frameworks to ensure data integrity.
 * Perform exploratory data analysis to identify trends, data gaps, and metric behavior related to portfolio performance.
 * Translate business questions and acquisition strategy into technical requirements, datasets, and analytical solutions.
 * Create reports, dashboards, and analytical outputs that are usable and interpretable by non-technical stakeholders.
 * Collaborate closely with analytics, engineering, and business partners to align data definitions, metrics, and logic.
 * Document data pipelines, models, transformations, business rules, and data dictionaries to support governance and continuity.