A

AspenTech

Asset optimization software for process industries

Principal Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBedford, MA, USA$157.4k - $196.8kIn-person

About the Job

Requirements

  • A master's degree in Computer Science, Engineering, Operations Research, or a related major is required; a PhD is preferred.
  • At least 10 years of experience in data analysis and software development or programming with one or more of Python, Julia, MATLAB, C++, C, and C#.
  • Strong expertise in engineering mathematics, statistics, and optimization.
  • Demonstrated experience with machine learning algorithms, including regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, and cognitive computing.
  • A history of publishing research and results in the machine learning field.
  • Ability to use scientific research to deliver value to customers and deliver results in a fast-paced environment.
  • Ability to convey complex information clearly and concisely.
  • Problem-solving ability and attention to detail.
  • Experience with large language models, generative artificial intelligence, MLOps, graph knowledge, and/or cloud technologies is a plus.

Responsibilities

  • 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 that promote continuous innovation in Engineering Design and Simulation offerings.
  • Investigate new and developing technologies in industry and academia and determine how to leverage them in software applications.
  • Represent AspenTech at industry and academic meetings and conferences.

Desired Qualifications

  • Experience leading technical teams in modeling, simulation, or artificial intelligence and machine learning related areas is desirable.
  • Experience with large language models, generative artificial intelligence, MLOps, graph knowledge, and/or cloud technologies is a plus.
  • A PhD is preferred.

About the Company

AspenTech

Asset optimization software for process industries

AspenTech provides industrial software that optimizes asset design, operations, and maintenance across the full lifecycle for capital-intensive process industries. Its offerings help customers improve efficiency, reduce costs, and boost operational performance by analyzing industrial data, modeling assets and processes, and applying optimization and lifecycle maintenance strategies. The software suite targets chemicals, energy, and engineering & construction, distinguishing itself with a specialized focus on asset optimization for these sectors rather than broad, general-purpose tools. The goal is to help clients maximize asset performance and reduce total operating costs through integrated design, operation, and maintenance solutions.

Company size
1,001-5,000
Company stage
Private
Total funding
$100M
Headquarters
Bedford, TX
Founded
1981

Recently Posted Jobs

Explore more opportunities at AspenTech

See more jobs