Data Scientist 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 Roles & Responsibilities
- 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
Education:
MS TCS Employee Benefits Summary
- 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.
Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range:
$120000 - $150000 a year #LI-JH1