Algorithms, Business Strategy, Data Analysis, Data Collection, Data Quality, Data Science, Data Visualization, Linear Algebra, Machine Learning, Mathematics, Model Validation, Power BI, Predictive Modeling, Process Improvement, Python Programming/Scripting Language, R Programming Language, Reporting Skills, SQL (Structured Query Language), Set Goals, Statistics, Structured Data, Tableau, Unstructured Data, Usability Engineering
Data Scientist
Plano TX
Onsite
Contract
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.
- Communication: Ability to translate complex data insights into clear business strategies.
P
PROLIM Global Corporation