Six Figure Work

Principal Data Scientist

AspenTech

Company websiteaspentech.com (AspenTech, opens in new tab)

Base salary $157,400  to $196,800

Employer-published annual base salary, USD. Advertised base range in Bedford, MA

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  • LocationBedford, MA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

The Role

As a Principal Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech’s Engineering Product Suite of Modeling and Simulation platforms. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI, and Cognitive Computing to drive AspenTech’s Engineering Design and Simulation suite by developing ground-breaking software.

Your Impact

  • Provide technical leadership to a group of data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and process industries.
  • Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Engineering Design and Simulation offerings.
  • Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications.
  • Provide thought leadership and represent AspenTech at industry and academic meetings and conferences.

What You'll Need

  • Master’s in Computer Science, Engineering, Operation Research, or a related major; PhD preferred.
  • 10+ years of experience in data analysis and software development/programming with one or more of Python, Julia, Matlab, C++/C and C#.
  • Experience leading technical teams in modeling, simulation or AI/ML related areas is desirable.
  • Strong expertise required in engineering mathematics, statistics and optimization.
  • Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing).
  • Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus.
  • History of publishing research and results in the ML field.
  • Problem-solving ability and attention to details.
  • Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment.
  • Excellent interpersonal, communication, writing, and presentation skills.
  • Demonstrated ability to convey complex information in a clear and concise manner.
The salary range for this role is $157,400.00 - $196,800.00. This range represents what we in good faith believe is the range possible for base compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range based on several factors. This range may be modified in the future. This role is also eligible for bonus or variable incentive pay. Additionally, we offer a comprehensive benefits package including paid time off, charitable giveback day, medical/dental/vision insurance, and retirement benefits to eligible employees.

Source: AspenTech on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($157,400) is above 55% of the 142 Data & ML roles in Massachusetts listed on this site. Their median floor is $149,203; the middle half runs from $126,250 to $177,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live AspenTech roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live AspenTech roles with the nearest advertised base floor
RolePublished base
Principal Data Scientist (this listing)$157,400 - $196,800
Financial Planning & Analysis Director$157,400 - $196,800
Senior Manager, ADMS$149,900 - $187,400
Manager, Power Systems Engineering$149,900 - $187,400
Sr Market Insight Manager$149,900 - $187,400
Director, Digital Experience$170,000 - $191,250
Sr Manager, Project Management$142,800 - $178,500

Same $100K to $400K scale as every card. All AspenTech roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-27
Where this pay comes from

Location as the employer wrote it: Bedford, Massachusetts

The salary range for this role is $157,400.00 - $196,800.00. This range represents what we in good faith believe is the

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.