Principal Data Scientist
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 will provide technical leadership in developing innovative solutions for the next generation of Production Automation and Value Chain Optimization.
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, supply chain optimization, and expert systems.
You will leverage your skills and passion for Machine Learning and AI to drive AspenTech's Production and Value Chain Optimization strategy by developing ground-breaking software.
Your Impact
- Provide technical leadership and collaborate with data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and processing industries.
- Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Production Automation and Value Chain Optimization 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
- Ph.D in Computer Science, Engineering, Operation Research, or a related major; Masters with significant industrial experience can be considered.
- Deep knowledge of operations research, chemical / oil & gas / manufacturing supply chain management.
- 10+ years of experience in applying state-of-the-art AI / ML technologies (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing), preferably to planning and supply chain analysis in engineering applications.
- Strong expertise in non-linear programming, optimization, multivariate analysis.
- Some knowledge of advanced process control desirable.
- Highly skilled with Python AI / ML packages, familiarity with C++ / C#.
- Publications in engineering and / or AI / ML conferences and journals preferred.
- Familiarity with LLM, generative AI, MLops, Graph Knowledge, and cloud technologies preferred.
- Knowledge of Aspen products in planning supply chain management (AUP, PIMS, APS, SCM) preferred.
Principal Data Scientist
As a member of the Data Science team, you will develop data-driven features to provide a personalized, contextual, and adaptable coaching experience, guiding members toward their goals. Close collaboration with data scientists, product managers, software engineers, physiology experts will be integra...
Principal Data Scientist
We are seeking a Principal Data Scientist to analyze various types of data and parse through large amounts of raw information to find patterns that will help identify ways to optimize and improve the group's performance. We will rely on this person to build data products to extract valuable business...
Principal Data Scientist
We are seeking a Principal Data Scientist to analyze various types of data and parse through large amounts of raw information to find patterns that will help identify ways to optimize and improve the group’s performance. We will rely on this person to build data products to extract valuable business...
Principal Data Scientist
As a member of the Data Science team, you will develop data-driven features to provide a personalized, contextual, and adaptable coaching experience, guiding members toward their goals. Close collaboration with data scientists, product managers, software engineers, physiology experts will be integra...
Principal Data Scientist
Role: Principal Data Scientist. Design and build innovative data and analytics solutions to support key decisionsSupport standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation....
Principal Oligo Data Scientist
Principal Oligo Data Scientist. The oligotherapy principal data scientist role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies. Oligo data scientists will serve a dual purpose of co-dev...
Principal Data Scientist
Sprinklr has an exciting opportunity for a Principal Data Scientist to join the Enterprise Analytics team. Work with leaders, product engineers and user experience researchers to understand customer data and explore opportunities to turn qualitative data into quantitative data for use in recommendat...
Principal Data Scientist
As a member of the Data Science team, you will develop data-driven features to provide a personalized, contextual, and adaptable coaching experience, guiding members toward their goals. Close collaboration with data scientists, product managers, software engineers, physiology experts will be integra...
Principal Data Scientist - NLP
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. AI Foundations Specialist Models Data Science team builds and ships state of the art scalab...
Principal Data Scientist
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e. OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, o...