People Intelligence Data Scientist

Piper Companies is looking for a People Intelligence Data Scientist to join a dynamic, innovation-focused organization to lead the development and application of AI and machine learning solutions that enhance how people work across teams and the enterprise..

Responsibilities for the People Intelligence Data Scientist:

• Design and deploy advanced AI/ML models to extract insights from both structured and unstructured workforce data
• Collaborate with cross-functional teams to identify and implement automation opportunities
• Develop and optimize Large Language Models (LLMs) for tasks such as text analysis, summarization, and classification
• Research and apply emerging AI technologies to improve employee experience and operational efficiency

Qualifications for the People Intelligence Data Scientist:

• 4+ years of experience in data science with a strong focus on AI, machine learning, and natural language processing
• Must be eligible to work in the United States and obtain and maintain an Active U.S. Government Secret Clearance
• Proficiency in Python, R, and ML libraries such as TensorFlow, PyTorch, or Hugging Face
• Demonstrated success in building models that deliver actionable business insights
• Deep understanding of ethical AI practices, data privacy, and security standards
• Strong communication skills with the ability to translate technical findings into business value
• Master’s or Ph.D. in Data Science, Computer Science, Artificial Intelligence, or a related field

Compensation/Benefits for the People Intelligence Data Scientist:

• Salary Range: $130,000 – $150,000 annually
• Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave (as required by law), and Holidays

This job opens for applications on August 22, 2025. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords: AI, Machine Learning, Data Science, NLP, People Analytics, LLMs, Python, TensorFlow, PyTorch, Hugging Face, Insight Automation, Workforce Intelligence, Predictive Modeling, Responsible AI, Data Privacy, Natural Language Processing, Enterprise AI, Workflow Automation, HR Technology, Organizational Intelligence

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