> Markdown version of [/jobs/ext/3381708-data-scientist](https://www.wearedevelopers.com/jobs/ext/3381708-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Johnson Service Group PLC - **Location:** Houston, TX, United States - **Salary:** $26,000.0 - $29,900.0 - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Inventory Management Software, Python (Programming Language), Machine Learning, Feature Engineering, Scikit Learn, Xgboost - **Published:** September 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=65f23d8983cbcccc ## About the Role * Machine learning modeling experience across classification and regression. * Strong Python skills with scikit-learn and LightGBM/XGBoost. * AWS SageMaker experience, including training jobs and hyperparameter tuning. * Ability to work effectively under the direction of a Lead Data Scientist while independently supporting separate model development tracks. * Strong technical documentation practices, including model cards, experiment logs, and accuracy reports. Nice to Have skills * Multi-class classification experience. * Exposure to manufacturing and inventory data. ## Description * Build a BOM/configuration mix classifier to predict series and part-number mix from family-group-level demand. * Develop models in parallel with the Lead Data Scientist across separate model tracks to avoid single-threaded development. * Develop a net demand model incorporating salvage, rerun, and repair signals to calculate total manufacturing need. * Implement feature engineering pipelines designed by the Lead Data Scientist. * Conduct model experimentation, including hyperparameter tuning, ablation studies, and feature importance analysis. * Create and maintain model cards, experiment logs, accuracy reports, and related technical documentation.