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Aspen Technology Interview Questions

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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Aspen Technology Salaries by Position

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 Technology Group, you will provide technical leadership in innovating the next generation of AspenTech’s Digital Grid Management solutions. 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, and cognitive computing. You will leverage your skills and passion for Machine Learning, AI, and Cognitive Computing to enhance AspenTech’s Digital Grid Management suite by developing ground-breaking software.
Your Impact   Provide technical guidance to cross-functional teams of data scientists, engineers, and software developers to design and develop innovative machine learning solutions for the Energy sector, particularly in the convergence of AI and Power Systems.
Drive collaboration with customers, product managers, and internal technical teams to identify opportunities for AI integration within our Digital Grid Management portfolio.
Develop and execute technology roadmaps and strategies that foster continuous innovation, scalability, and competitive differentiation in our energy management offerings.
Evaluate emerging technologies from industry and academia, assessing their potential impact and feasibility to integrate into existing and future software applications.
What You'll Need   Master’s in computer science, Engineering, Operation Research, or a related major; PhD preferred.
7+ 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 one of these areas: Generation, Transmission, Distribution, Distributed Energy Resource, SCADA, Contingency Analysis, Power System Optimization.
Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing).
Familiarity with modeling in simulation software e.g.: PSS/E, PSCAD, PowerFactory, Matlab/Simulink or equivalent and respective analytics of results.
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 detail.
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.

#J-18808-Ljbffr

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. <h3>The Role </h3>As a Principal Data Scientist in our Technology Group, you will provide technical leadership in innovating the next generation of AspenTech’s Digital Grid Management solutions. 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, and cognitive computing. You will leverage your skills and passion for Machine Learning, AI, and Cognitive Computing to enhance AspenTech’s Digital Grid Management suite by developing ground-breaking software. <h3>Your Impact </h3><ul><li>Provide technical guidance to cross-functional teams of data scientists, engineers, and software developers to design and develop innovative machine learning solutions for the Energy sector, particularly in the convergence of AI and Power Systems. </li><li>Drive collaboration with customers, product managers, and internal technical teams to identify opportunities for AI integration within our Digital Grid Management portfolio. </li><li>Develop and execute technology roadmaps and strategies that foster continuous innovation, scalability, and competitive differentiation in our energy management offerings. </li><li>Evaluate emerging technologies from industry and academia, assessing their potential impact and feasibility to integrate into existing and future software applications. </li> </ul><h3>What You'll Need </h3><ul><li>Master’s in computer science, Engineering, Operation Research, or a related major; PhD preferred. </li><li>7+ years of experience in data analysis and software development/programming with one or more of Python, Julia, Matlab, C++/C, and C#. </li><li>Experience leading technical teams in modeling, simulation, or AI/ML related areas is desirable. </li><li>Strong expertise required in one of these areas: Generation, Transmission, Distribution, Distributed Energy Resource, SCADA, Contingency Analysis, Power System Optimization. </li><li>Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing). </li><li>Familiarity with modeling in simulation software e.g.: PSS/E, PSCAD, PowerFactory, Matlab/Simulink or equivalent and respective analytics of results. </li><li>Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus. </li><li>History of publishing research and results in the ML field. </li><li>Problem-solving ability and attention to detail. </li><li>Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment. </li><li>Excellent interpersonal, communication, writing, and presentation skills. </li><li>Demonstrated ability to convey complex information in a clear and concise manner. </li> </ul>#J-18808-Ljbffr

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 member of the Aspen Technology (AspenTech) Inmation product management team, this product management role is focusing on the Inmation Data Fabric in its role to enable the AspenTech Data Strategy. You’ll join a team of very skilled, talented and passionate people, always bringing the industry best practices to our workflow. Your Impact<ul><li>Identifying domain-specific data model structure usage in heritage AspenTech products. Design heatmaps and provide analysis of AspenTech’s product’s compatibility with Industrial Data Fabric concept.</li><li>Recommending the AspenTech portfolio potential for harmonization and standardization of business model structures and incorporation of Industry Standards where applicable in collaboration with the product management and R&D.</li><li>Working with customers on their data model journey and usage of Industry Standard Data Structures and modification thereof. Deeply understand the challenges, needs and desires of the customer and identify proper positioning in the market. Use customer insights to drive data portfolio decisions.</li><li>Mapping business (use case)/domain-specific data model structures of use cases into canonical data model designs with the help of the Inmation PU team.</li><li>Continuously monitor and verify the landscape of canonical models and other technologies, e.g. knowledge bases that use a graph -structured data model or topology to represent and operate on data.</li><li>Responsible to life cycle (formation through execution) on the above areas and to continuously specify the market and market needs.</li><li>Responsible to drive the day-to-day management of the data model aspects of the Inmation Industrial Data Fabric and selected portfolio to drive profitable growth for all AspenTech product portfolios.</li><li>Focusing to enable with Inmation PU highly performant data services used to move and manage massive amounts of data, aggregating the data and provide supporting data visualization and analysis capabilities.</li><li>Brainstorming with our Product Owners, technical architecture sessions with our product experts, you’ll bring our customer’s features from idea to reality.</li><li>Share knowledge with the team by participating in Code Reviews and Pair Programming.</li><li>Participate in all agile ceremonies (standups, planning, training, backlogrefinement, reviews, retrospectives).</li></ul>What You'll Need<ul><li>Bachelor’s Degree and experience within technology, preferably control software and application software. Knowledge of computer programming. Data structures, algorithms, concurrent programming, elements of operating systems design, etc.</li><li>Proven track record in being able to effectively lead in the strategical technology area of data interoperability and integration standards.</li><li>Familiar with concepts such as networks, databases, servers, communications and information security</li><li>Familiar with programming (scripting) languages.</li><li>Broadly competent across many areas of technology (infrastructure, security, DevOps, databases, application development, analytics) and deep in at least 2-3 of those areas, 10+ years of experience required.</li><li>Real-world experience in manufacturing operations with Operational Technology background.</li><li>Capability of contributing to the design of a complete solution across the entire lifecycle of a data-driven activity: from pre-sales through design and delivery of the solution.</li><li>Experienced in navigating complex technological environments, delivering innovative solutions, and driving customer success and retention through strategic insight.</li><li>Ability to lead by example in a matrix setup and strong in cross-functional collaboration.</li><li>Demonstrated ability to think strategically about business, products, and technical challenges.</li><li>Candidate is comfortable at the intersection of technology and business and has strong customer anticipation and presence.</li><li>Proven experience connecting technology with measurable product value is critical to this role.</li><li>English fluency and strong presentation skills.</li></ul>#LI-WJ1
#J-18808-Ljbffr

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 RoleAs a member of the Aspen Technology (AspenTech) Inmation product management team, this product management role is focusing on the Inmation Data Fabric in its role to enable the AspenTech Data Strategy. You'll join a team of very skilled, talented and passionate people, always bringing the industry best practices to our workflow.Your Impact* Identifying domain-specific data model structure usage in heritage AspenTech products. Design heatmaps and provide analysis of AspenTech's product's compatibility with Industrial Data Fabric concept.* Recommending the AspenTech portfolio potential for harmonization and standardization of business model structures and incorporation of Industry Standards where applicable in collaboration with the product management and R&D.* Working with customers on their data model journey and usage of Industry Standard Data Structures and modification thereof. Deeply understand the challenges, needs and desires of the customer and identify proper positioning in the market. Use customer insights to drive data portfolio decisions.* Mapping business (use case)/domain-specific data model structures of use cases into canonical data model designs with the help of the Inmation PU team.* Continuously monitor and verify the landscape of canonical models and other technologies, e.g. knowledge bases that use a graph -structured data model or topology to represent and operate on data.* Responsible to life cycle (formation through execution) on the above areas and to continuously specify the market and market needs.* Responsible to drive the day-to-day management of the data model aspects of the Inmation Industrial Data Fabric and selected portfolio to drive profitable growth for all AspenTech product portfolios.* Focusing to enable with Inmation PU highly performant data services used to move and manage massive amounts of data, aggregating the data and provide supporting data visualization and analysis capabilities.* Brainstorming with our Product Owners, technical architecture sessions with our product experts, you'll bring our customer's features from idea to reality.* Share knowledge with the team by participating in Code Reviews and Pair Programming.* Participate in all agile ceremonies (standups, planning, training, backlog refinement, reviews, retrospectives).What You'll Need* Bachelor's Degree and experience within technology, preferably control software and application software. Knowledge of computer programming. Data structures, algorithms, concurrent programming, elements of operating systems design, etc.* Proven track record in being able to effectively lead in the strategical technology area of data interoperability and integration standards.* Familiar with concepts such as networks, databases, servers, communications and information security* Familiar with programming (scripting) languages.* Broadly competent across many areas of technology (infrastructure, security, DevOps, databases, application development, analytics) and deep in at least 2-3 of those areas, 10+ years of experience required.* Real-world experience in manufacturing operations with Operational Technology background.* Capability of contributing to the design of a complete solution across the entire lifecycle of a data-driven activity: from pre-sales through design and delivery of the solution.* Experienced in navigating complex technological environments, delivering innovative solutions, and driving customer success and retention through strategic insight.* Ability to lead by example in a matrix setup and strong in cross-functional collaboration.* Demonstrated ability to think strategically about business, products, and technical challenges.* Candidate is comfortable at the intersection of technology and business and has strong customer anticipation and presence.* Proven experience connecting technology with measurable product value is critical to this role.* English fluency and strong presentation skills.#LI-WJ1

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 RoleAs a Senior 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 and collaborate with 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.
5+ years of experience in data analysis and software development/programming with one or more of Python, Julia, Matlab, C++/C and C#.
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
Participated in the design, development, evaluation, and deployment of scalable data-driven models and analytical solutions for machine learning application.
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.
#LI-DW1

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 RoleAs 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.

Aspen Technology Interview Questions

Aspen Technology Interview Guides

Aspen Technology Interview Questions

Aspen Technology Salaries by Position

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