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Paycom is seeking to transform complex data into actionable insights that drive business growth and inform strategic decision-making

Requirements

• 2+ years' Experience in building data pipelines for production applications
• 2+ years' Experience developing software utilizing various languages, including Python, SQL and/or the ability to pick up new languages quickly
• Familiarity with Large Language Models and using them in production applications
• Strong knowledge and experience using data platforms, machine learning frameworks and generative AI tooling
• Experience with prompt engineering and RAG
• Ability to work cross-functionally and communicate technical findings to non-technical audiences
• Excellent product intuition and business acumen, with experience influencing product strategy

Responsibilities

• Build data pipelines following the most optimum industry standards
• Build forecasting models to understand user behavior and user retention
• Clean and preprocess data to ensure accuracy and consistency
• Automate workflows and data processing tasks
• Perform exploratory data analysis to uncover trends, patterns, and anomalies
• Apply AI and machine learning techniques to derive insights from complex datasets
• Create visually appealing and interactive dashboards, reports, and presentations

Other

• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Business Analytics or related field
• Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Business Analytics or related field (Preferred)
• Ability to tactfully and effectively give and receive concrete feedback
• Ability to influence and align cross-functional teams in technical and business domains
• Must be able to stand; walk; sit; use hands and fingers to handle, type, or feel; reach with hands and arms; and talk or hear