> Markdown version of [/jobs/ext/3985902-data-scientist](https://www.wearedevelopers.com/jobs/ext/3985902-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:** Tata Consultancy Services Limited - **Location:** Highlands Ranch, CO, United States - **Salary:** $120,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Data Cleansing, Data Transformation, Data Mining, Python (Programming Language), Machine Learning, Standard Sql, Feature Engineering, Model Validation, Pandas, Scikit Learn, Data Analytics, Xgboost, Data Management, Machine Learning Operations - **Published:** October 28, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88725978/1 ## About the Role * Good understanding of machine learning including with extensive hands-on experience in model building (gradient boosting (XGBoost/LightGBM), GLMs, time series, NLP etc. * Knowledge of data management and visualization techniques * Ability to do data analysis using Python * Expertise in statistical analysis, feature engineering, A/B testing techniques and predictive modeling * Good knowledge of Python Datascience stack: pandas, scikit-learn, MLflow (or similar), model evaluation rigor * Experience with SQL * Excellent communication skills and ability to work with partners: translating business problems into ML framing * Good understanding of GenAI ## Description * Understand domain and data analytics requirements * Perform data preprocessing that involves data transformation as well as data cleaning. * Conduct data mining and collection procedures * Ensure data quality and integrity * Interpret and analyze data problems * Conceive, plan and prioritize data projects * Build analytic systems and predictive models * Increase the performance and accuracy of machine learning algorithms through fine-tuning and further * Visualize data and create reports * Experiment with new models and techniques * Conduct EDA and Explainability * Align data projects with organizational goals