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# Data Scientist

- **Company:** Tata Consultancy Services Limited
- **Location:** Littleton, CO, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Data Cleansing, Data Transformation, Data Mining, Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Standard Sql, Scripting, Feature Engineering, Model Validation, Pandas, Scikit Learn, Data Analytics, Xgboost, Data Management, Machine Learning Operations
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-highlands-ranch-co--07e71cdc-6d9f-441e-9c5c-5afec6613233

## About the Role

Mathematical Science Occupations, All Other

Skills

Data Science, Machine Learning, Natural Language Processing (NLP), Data Management, Data Visualization, Data Analysis, Python Programming/Scripting Language, Statistics, Quality Assurance Methodology, Predictive Modeling, Required Skills: Data scientist

Qualification: MASTER OF SCIENCE

Experience: 8 - 10 Years, Must Have Technical/Functional Skills

 * 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