Sr Data Scientist

Aspen Technology

Base: $127,000.00 - $158,700.00; bonus/equity: eli...
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Machine learning algorithms expertise
Python programming with data science packages
Experience with llm and generative ai workflows
** Aspen Technology is seeking a Senior Data Scientist to enhance its AI-driven Asset Performance Monitoring solutions. Ideal candidates will possess strong quantitative skills, extensive experience in machine learning, and programming expertise, particularly in Python. The position offers competitive compensation and a robust benefits package, alongside opportunities for career development and community engagement. **

Job Summary

  • The role involves designing and developing new machine learning and AI applications specifically for the manufacturing and process industries.
  • Candidates will collaborate with customers and product managers to translate needs into product specifications while leveraging emerging technologies like agentic AI.
  • The position offers a competitive salary range of $127,000.00 to $158,700.00 along with comprehensive benefits including medical insurance and retirement plans.

Matching Summary

Match Score: 75

** Aspen Technology is seeking a Senior Data Scientist to enhance its AI-driven Asset Performance Monitoring solutions. Ideal candidates will possess strong quantitative skills, extensive experience in machine learning, and programming expertise, particularly in Python. The position offers competitive compensation and a robust benefits package, alongside opportunities for career development and community engagement. **

Salary

Base: $127,000.00 - $158,700.00; Bonus/Equity: Eligible for bonus or variable incentive pay; Benefits: Paid time off, charitable giveback day, medical/dental/vision insurance, and retirement benefits

Skills & Requirements

Must-have

  • Machine learning algorithms expertise
  • Python programming with data science packages
  • Experience with LLM and generative AI workflows
  • C++ or C# programming experience
  • Time series analysis and predictive modeling

Nice-to-have

  • Track record of academic publications
  • Public GitHub stack contributions
  • Experience delivering AI to end-users
  • Strong quantitative background in statistics
  • Ability to evangelize AI capabilities

Key Requirements

  • MS in Science or Engineering required
  • PhD preferred in quantitative field
  • 5+ years of data analysis experience
  • History of innovative quantitative solutions
  • Academic publications in data science preferred

Work Rights

Not specified

Tailored Resume

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