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Job DescriptionJob Description
Note: Only on W2
Must be local to either Cary, NC or Irving, TX
Client: Caterpillar
Education:
• Bachelors or Masters are required
Qualifications:
• 5+ years of experience are required
Top Skills:
• Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow)
• Strong foundation in statistics, probability, and machine learning
• Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling
• Excellent communication skills to explain technical concepts to non-technical stakeholders
Job Duties:
• A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making.
• This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation.
• Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability
• Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets
• Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making
• Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings
• Automation & Optimization: Develop scripts and tools to automate data processing and model deployment
• Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals
• Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges
Note: Only on W2
Must be local to either Cary, NC or Irving, TX
Client: Caterpillar
Education:
• Bachelors or Masters are required
Qualifications:
• 5+ years of experience are required
Top Skills:
• Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow)
• Strong foundation in statistics, probability, and machine learning
• Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling
• Excellent communication skills to explain technical concepts to non-technical stakeholders
Job Duties:
• A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making.
• This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation.
• Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability
• Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets
• Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making
• Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings
• Automation & Optimization: Develop scripts and tools to automate data processing and model deployment
• Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals
• Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges