Mission: To lead in the creation, development, and manufacture of the industry"s most advanced information technologies, including computer systems, software, networking systems, storage devices, and microelectronics. And our worldwide network of IBM solutions and service professionals translates these advanced technologies into business value for our customers. We translate these advanced technologies into value for our customers through our professional solutions, services, and consulting businesses worldwide.
Vision: To be the world"s most successful and important information technology company. Successful in helping our customers apply technology to solve their problems. Successful in introducing this extraordinary technology to new customers. Important, because we will continue to be the basic resource of much of what is invested in this industry.
Case study on revenue growth and identifying high growth clients.
How do you validate a machine learning model?
Define a confidence interval?
Explain the importance of a p-value.
What languages are you familiar with? (python, java, etc)
What"s the difference between Supervised vs. Unsupervised machine learning?
What is precision?
What is specificity?
What is sensitivity/recall?
Given a subset of daily sales and sellers, find the subset that identifies those with the highest daily sales average.
If you were part of the consulting team that was trying to onboard new clients to buy in on IBM"s technology based product (e.g. Watson), how would you go about selling it to a client from (pick a country: E.g. India) that specializes in (pick an industry: E.g. healthcare marketing for cancer research)?
Describe precision and recall.
What do you know about Tensorflow?
How do you evaluate the performance of a regression prediction model as opposed to a classification prediction model?
How do you deal with a missing value?
What is the matrix used to evaluate the predictive model?
What are the relationships between the coefficient in the logistic regression and the odds ratio?
Stage 1: Online coding challenge through HireVue The test is described as quite hard, containing 13 questions, some requiring video response and some requiring a short essay response -- with some behavioral questions and the rest are machine learning and statistical practices.
Stage 2: Phone screen with recruiter
Stage 3: Technical phone interview with coding challenges
Stage 4: Onsite interview The onsite is scheduled with multiple sessions conducted by people from information design, statistics, and machine learning followed by management.
Pathrise is a career accelerator that helps people land their dream jobs. We regularly place our fellows at top companies like Apple, Amazon, and Meta. Our mentors have experience at companies like Apple, giving fellows the inside scoop on interview and company culture in 1-on-1 sessions.
We can’t guarantee you a job at a specific company like Apple. But we do guarantee you a great job–if you don’t accept an offer in 1 year, you pay nothing. Our income share agreement means you only pay with a percentage of your income at your new role.
Mentors work with fellows at every stage in search, helping them build the skills necessary to be the best candidate possible. Fellows in Pathrise usually see a 2-4x increase in application response rates, 1.5-3x increase in interview scores, and 10-20% increase in salary through negotiation.