Role: Data Scientist
Location: San Antonio, TX / Plano, TX – Onsite
Duration: 6-10+ Months
Duration: 6-10+ Months
Job Description:
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.
Core Roles and Responsibilities
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.
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.
Model Maintenance: Testing, validating, and updating models to ensure accuracy and relevance over time.
