Data Scientist
Tata Consultancy Services Limited
Highlands Ranch, CO, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$120,000.0 - $140,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+4 more
Data Analytics
Xgboost
Data Management
Machine Learning Operations
Job 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
Requirements
-
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
Benefits & conditions
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
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