FAQs
What is the main focus of the Engineering Data Scientist role?
The main focus of the Engineering Data Scientist role is to identify and investigate emerging deep learning technologies within mechanical, aerospace, and civil engineering, as well as to implement commercial-level code for Altair products.
What educational background is required for this position?
An engineering degree in mechanical, aerospace, civil, material science, computer science, or a related field is required, with a Master of Science preferred.
How much experience is necessary for applicants to this position?
Applicants should have at least 2+ years of engineering data science experience.
What programming skills are essential for this role?
Strong proficiency in Python is essential for this role.
Is familiarity with CAD/CAE tools important for this position?
Yes, familiarity with CAD/CAE tools is desirable for this position.
What type of communication skills are expected from candidates?
Candidates should possess excellent communication skills, both verbal and written.
What are some of the key qualities Altair looks for in employees?
Altair looks for employees who can envision the future, communicate honestly and broadly, seek technology and business "firsts," embrace diversity, and take risks.
What benefits are included with this position?
Benefits include a competitive salary, comprehensive benefit package, outstanding work/life balance, flex time, employee stock purchase program, 401(k) with matching contributions, unlimited vacation and sick days, paid holidays, paid time off for community service, a collaborative environment, and a charitable matching program.
What is Altair's vision regarding technology and decision-making?
Altair's vision is to transform customer decision-making through data analytics, simulation, high-performance computing, and artificial intelligence (AI).
Is Altair an equal opportunity employer?
Yes, Altair is an equal opportunity employer and values the diverse backgrounds of its global team members.