Data Scientist

Location: San Antonio TX, Plano TX - onsite Duration: 6 months GBaMS ReqID: 10583538

Data Scientists

Programming Proficiency: 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.

Communication: Ability to translate complex data insights into clear business strategies.

Role Descriptions (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.

Essential 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.

Desirable Skills:

• Keyword Skills: Digital, Data Science, Digital Python for Data Science.

Experience Required: 8-10