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# Data Scientist II

- **Company:** The Intersect Group
- **Location:** Greenville, SC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Programming, Information Engineering, Python (Programming Language), Machine Learning, Feature Engineering, Chatbots, Information Technology, Drift Detection
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/3f22f516-22dd-42e3-9f58-38620e834208

## About the Role

* Master's degree in applied mathematics, statistics, computer science, engineering, or another quantitative field.
 * Strong foundation in mathematics, statistics, quantitative problem-solving, and machine learning.
 * Strong programming and algorithmic problem-solving skills in R and/or Python.
 * Ability to write efficient, maintainable analytical code.
 * Two to four years of professional experience in data science, machine learning, data engineering, or a closely related field.
 * Ability to explain technical work clearly to nontechnical partners.
 * Experience working with structured data and building predictive models from complex, real-world datasets.

Apply if you are ready to build production machine-learning solutions and contribute to applied AI initiatives in a collaborative data science environment. This role offers the opportunity to work on consequential business problems while expanding your expertise in statistical modeling, machine learning, and AI.

## Description

* Develop predictive models using statistical methods, machine-learning algorithms, quantitative reasoning, and creative problem-solving.
 * Create reliable predictive features through data exploration, domain knowledge, and advanced feature engineering.
 * Perform model diagnostics, validation, and data-quality assessments to evaluate model behavior, stability, and production readiness.
 * Improve models by evaluating alternative algorithms, model structures, predictors, and data sources.
 * Use R and/or Python to manipulate data, implement algorithms, automate analytical workflows, and support model deployment and monitoring.
 * Build monitoring and alerting solutions for data quality, model drift, stability, and predictive performance.
 * Support applied generative AI initiatives, including chatbots and conversational AI components for AI phone agents.
 * Communicate methodologies, findings, model limitations, and recommendations to technical and nontechnical stakeholders, including senior and executive management.