Data Scientist

Location: San Antonio, TX / Plano, TX - onsite

Duration: 6 months

GBaMS ReqID: 10583538

Data Scientists

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.

+8

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

Role Descriptions: Core Roles and ResponsibilitiesData 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. 8

Essential Skills: Programming Proficiency in Python| R| and SQL.MathematicsStatistics 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