Sr 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 We are looking for a Senior Data Scientist to help build the next generation of Asset Performance Monitoring AI. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with data, in all its forms, including data mining, mathematical modelling, cognitive computing, expert systems, and emerging LLM-based and agentic AI techniques. You will leverage your skills and passion for machine learning, AI and cognitive computing to drive Emerson’s Asset Performance Monitoring strategy by developing ground-breaking software solutions. Your Impact Design and develop new machine learning and AI applications for the manufacturing and process industries Collaborate with customers, product managers, designers, and developers to understand customer needs and translate them into product requirements and specifications Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications Contribute to Emerson’s intellectual property footprint in the space of AI Evangelize the capabilities of machine learning and artificial intelligence and represent Emerson as a subject matter expert at select venues Contribute to the roadmap of AI research and take the technical lead in AI research and development projects What You'll Need MS in Science or Engineering, PhD preferred, with a strong quantitative focus, such as AI, Statistics, Computer Science, Data Science, or a related quantitative field. 5 years of experience in data analysis and software development/programming, History of coming up with innovative and creative quantitative solutions, demonstrated through practical business impact. Experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing) Experience in Python programming, including data science specific packages, such as Pandas, Numpy, TensorFlow, PyTorch, Scikit-Learn etc. Experience in C or C# Experience with LLM, generative AI and agentic AI workflow Track record of academic publications related to data science, AI and/or process optimization. A footprint of public code represented by e.g., a GitHub stack and contributions to open-source packages, is preferred. Experience delivering AI/machine learning applications to end-users Problem-solving ability and attention to details Excellent interpersonal, communication, writing, and presentation skills Demonstrated ability to convey complex information in a clear and concise manner You love seeing your work through to customer impact! #LI-DW1 AspenTech is a global software leader helping industries meet the increasing demand for resources from a rapidly growing population in a profitable and sustainable manner. Our Digital Grid Management software suite, including AspenTech OSI products, helps power and utilities companies achieve superior real-time control, optimization and management for exceptional performance of complex energy networks. If you're looking to make a difference every day and push the limits of performance, AspenTech is doing things no one else thought was possible. As a leading industrial software partner, we help companies all over the world run safer, greener, longer and faster. With over 3700 employees and more than 60 global locations, AspenTech is meeting today's sustainability and business challenges head-on with unmatched expertise, cutting-edge AI-powered technology and a passion to innovate. AspenTech is an Equal Opportunity/Affirmative Action employer. AspenTech does not discriminate against employees or applicants on the basis of age, race, color, religion, creed, ancestry, sex, sexual orientation, gender identity or expression, pregnancy or related conditions, marital status, familial status, national origin, disability, medical condition, genetic information, citizenship, military service or protected Veteran Status or any other basis protected by applicable federal, state, or local law. Reasonable Accommodation: We will provide reasonable accommodations to qualified individuals who have a disability or sincere religious reasons to request accommodation, when necessary to enable the individual to participate in the job application or interview process. If you wish to request an accommodation, please contact us at recruiting@aspentech.com. GDPR Privacy Notice: AspenTech collects a range of personal information during the recruitment process. This may include the following personal or special categories of personal data: recruitment information such as your application form and resume, references, qualifications and membership of any professional bodies and details of any pre-employment assessments; your contact details and date of birth; your gender; your marital status and family details; your identification documents including passport and driver's license and information in relation to your immigration status and right to work with us; information about your contract of employment (or services) including start and end dates of employment, role and location, working hours, details of promotion, salary (including details of previous remuneration), pension, benefits, and holiday entitlement; your racial or ethnic origin; any criminal convictions and offences. AspenTech Security and Privacy Policy Plan Participants Enrolled in the AspenTech US Medical Plans: The Transparency in Coverage Final Rules require certain group health plans to disclose on a public website information regarding in-network provider rates and historical out-of-network allowed amounts and billed charges for covered items and services in two separate machine-readable files (MRF’s). The MRF’s for the benefit package options under AspenTech’s US Employee Benefit Plan are linked below: Transparency in Coverage Rule - Machine Readable Files Transparency In Coverage Rule And Consolidated Appropriations Act Overview and FAQS