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# Data Scientist

- **Company:** Kforce Inc.
- **Location:** Armonk, NY, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Github, Python (Programming Language), Machine Learning, Backtesting, Azure Machine Learning, Feature Engineering, Sql Optimization, Pytorch, Prophet, Snowflake, Model Validation, Pandas, Scikit Learn, Machine Learning Operations
- **Published:** August 5, 2026
- **Apply:** https://www.dice.com/job-detail/def104bf-6a3f-4228-bbc0-008fa5777ff1

## About the Role

* 7+ years of experience in Data Science, Machine Learning, or Predictive Analytics
 * Strong Python experience including pandas, scikit-learn, Prophet (or similar forecasting libraries), and PyTorch (preferred)
 * Advanced SQL skills and experience working with Snowflake
 * Experience developing and deploying models using Azure Machine Learning
 * Expertise in exploratory data analysis, feature engineering, time series forecasting, anomaly detection, and model validation
 * Experience with GitHub and collaborative development practices

Preferred Qualifications:

 * Experience solving resource, workforce, or capacity planning challenges
 * Energy & Utilities or other regulated industry experience
 * Experience with survival analysis or duration modeling
 * Strong communication skills with the ability to translate complex analytical results into business recommendations

## Description

* Perform exploratory analysis on large, complex operational datasets
 * Develop predictive models for resource planning, capacity forecasting, and operational health
 * Build forecasting, anomaly detection, and recommendation models using machine learning techniques
 * Conduct feature engineering, model validation, and back-testing to ensure model accuracy
 * Collaborate with business and technology teams to define success metrics and deliver actionable insights
 * Present findings and recommendations to technical and business stakeholders
 * Maintain code and machine learning pipelines using GitHub and Azure Machine Learning


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