Data Scientist

San Antonio, TX - USA

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Role - Data Scientist

Experience Required - 7 Years

Must Have Technical/Functional Skills

Programming: Proficiency in Python R and SQL.

Mathematics/Statistics: Strong understanding of statistical techniques probability and linear algebra.

Machine Learning: Knowledge of algorithms and libraries like Scikit-learn TensorFlow or PyTorch.

Roles & Responsibilities

Model Maintenance: Testing validating and updating models to ensure accuracy and relevance over time.

Data Collection and Preparation: Gathering unstructured and structured data from multiple sources then cleaning and preprocessing it to ensure data quality and usability.

Exploratory Data Analysis (EDA): Analyzing data to uncover hidden patterns correlations and trends.

Modeling and Machine Learning: Developing algorithms designing predictive models and training them on historical data for tasks like classification regression and optimization.

Data Visualization and Reporting: Using tools (e.g. Tableau Power BI) to create reports and charts that communicate technical findings to non-technical stakeholders.

Collaboration and Strategy: Working with business leaders to identify goals define problems and suggest data-driven improvements.

Base Salary Range : $100000 to $140000 Per Annum

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.

Role - Data Scientist Experience Required - 7 Years Must Have Technical/Functional Skills Programming: Proficiency in Python R and SQL. Mathematics/Statistics: Strong understanding of statistical techniques probability and linear algebra. Machine Learning: Knowledge of algorithms and libraries ...