What is a Data Scientist at Altair Engineering?
At Altair Engineering, we believe in transforming the future through the convergence of simulation, high-performance computing (HPC), and data analytics. While the broader Data Scientist title often implies purely digital or algorithmic work, this specific role operates at the cutting edge of physical science and data as a Fuel Cell Research Scientist. You will be working on site with our client’s Research Institute of North America (TRINA) in Ann Arbor, Michigan, supporting the research and development of next-generation fuel cell technologies.
This position is critical because it bridges the gap between theoretical materials science and practical, data-driven engineering. Your work directly impacts the viability, durability, and efficiency of clean energy solutions like low-temperature fuel cells and PEM water electrolyzers. By synthesizing electrocatalysts and rigorously testing Membrane Electrode Assemblies (MEAs), you provide the foundational data that drives broader simulation and product development.
Expect a highly collaborative, multidisciplinary environment where your deep domain expertise in chemistry or materials science intersects with rigorous data evaluation. This is not a standard desk-bound analytics role; it is a hands-on, highly specialized position where your physical experiments generate the data that powers tomorrow’s sustainable innovations.
Common Interview Questions
See every interview question for this role
Sign up free to access the full question bank for this company and role.
Sign up freeAlready have an account? Sign inPractice questions from our question bank
Curated questions for Altair Engineering from real interviews. Click any question to practice and review the answer.
Explain why a pneumonia classifier with 91% precision but 68% recall may still be unsafe, and recommend which metric to prioritize.
Design a batch ETL pipeline that detects, imputes, and monitors missing values before loading analytics tables with daily SLA compliance.
Explain why F1 is more informative than accuracy for a fraud model with 97.2% accuracy but only 18% recall on a 1% positive class.
Sign up to see all questions
Create a free account to access every interview question for this role.
Sign up freeAlready have an account? Sign inGetting Ready for Your Interviews
Preparing for this interview requires a balance of deep technical review and an understanding of our core values. Your interviewers will evaluate you across several distinct dimensions to ensure you can thrive in our research-intensive environment.
Domain Expertise & Scientific Rigor – As a Ph.D.-level scientist, you are expected to possess an authoritative understanding of electrocatalyst synthesis and fuel cell testing. Interviewers will look for your ability to design precise experiments, understand the underlying chemical mechanisms, and interpret complex material characterization data.
Experimental Problem Solving – Research is inherently unpredictable. We evaluate how you troubleshoot experimental failures, optimize fabrication processes for MEAs, and design Accelerated Stress Tests (AST) to isolate variables like catalyst dissolution. You can demonstrate strength here by walking interviewers through past roadblocks and the logical steps you took to overcome them.
Data Evaluation and Technical Communication – Your ability to synthesize physical data into actionable technical reports is paramount. Interviewers will assess how effectively you present complex findings to multidisciplinary teams, evaluating both your analytical mindset and your presentation skills.
Alignment with Altair’s Core Values – We actively look for candidates who embody our principles: Envision the Future, Communicate Honestly and Broadly, Seek Technology and Business "First", and Embrace Diversity and Take Risks. You must demonstrate a willingness to innovate safely and collaborate openly.
Interview Process Overview
The interview process for a Data Scientist / Fuel Cell Research Scientist at Altair Engineering is thorough and highly technical, designed to validate both your theoretical knowledge and your hands-on laboratory experience. You will typically begin with a recruiter screen that covers your availability, contract expectations, and a high-level review of your Ph.D. research and subsequent experience.
Following the initial screen, expect a technical deep-dive, often requiring a presentation of your past research. This is where you will defend your methodology, explain your data analysis techniques, and discuss your experience with Rotating Disk Electrodes (RDE) and MEA fabrication. The panel will consist of peer scientists and research directors who will probe the depth of your electrochemical knowledge.
The final stages involve behavioral and cross-functional interviews. Here, the focus shifts to how you collaborate within a multidisciplinary team, how you handle project pivots, and how well you align with Altair’s core values. The pace is generally steady, with the entire process taking a few weeks from the initial screen to a final decision.
This visual timeline outlines the typical stages of our evaluation process, from the initial exploratory screen to the final behavioral rounds. Use this to pace your preparation—focus heavily on structuring your research presentation early on, and save your behavioral and values-based preparation for the final stages.
Deep Dive into Evaluation Areas
Your technical and behavioral competencies will be rigorously tested. Below are the primary areas your interviewers will focus on, along with what constitutes a strong performance.
Electrocatalyst Synthesis and Characterization
Because you will be designing nano-sized PGM ORR catalysts for low-temperature fuel cells, your foundational knowledge of materials science is critical. Interviewers want to see that you understand the nuances of synthesizing these materials and can characterize them accurately. A strong candidate will seamlessly discuss the relationship between catalyst structure, particle size, and electrochemical performance.
Be ready to go over:
- PGM ORR Catalysts – Techniques for synthesizing highly active and stable platinum-group metal catalysts.
- Material Characterization – Interpreting data from XRD, TEM, XPS, and other physical characterization tools.
- Non-PGM and OER Catalysts – Strategies for developing cost-effective alternatives and your hands-on experience with Oxygen Evolution Reaction materials.
- Advanced synthesis techniques – Sol-gel methods, hydrothermal synthesis, and precise nanoparticle deposition.
Example questions or scenarios:
- "Walk me through your process for synthesizing a novel nano-sized PGM catalyst. How did you verify its structural integrity?"
- "If your synthesized catalyst shows lower-than-expected ORR activity, what steps do you take to identify the root cause?"
- "Describe your experience characterizing non-PGM catalysts. What are the primary data points you look for to determine viability?"



