Data Scientist

Location: San Antonio, TX / Plano, TX - onsiteDuration: 6 monthsGBaMS ReqID: 10583538Data ScientistsProgramming: 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 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.+8Communication: Ability to translate complex data insights into clear business strategiesRole 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. 8Essential 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 ScienceExperience Required: 8-10