Mission: Workday provides a revolutionary application platform and the next generation of business applications to drive your enterprise"s performance. Our applications will be dramatically easy to use, be responsive to your organization"s changing needs, and will significantly lower your total cost of ownership.
Customer service: Customer service influences everything we do. From building products to servings customers, we pull out all the stops to give our customers the very best. It"s why we lead the industry in customer satisfaction.
Employees: Employees first isn"t just a mantra for us, but a way of life. They are the source of our success and our number one value. After all, our employees help us build a great company, a world-class product, and a better world.
Fun: Sure we work hard. But we play hard, too. From community and company events to following our passions outside of work, we deepen connections with one another and go beyond business as usual.
Innovation: We love to test new features, dream up big ideas, and create original approaches because the status quo is just not good enough. It"s this thinking that keeps us at the forefront of technology and allows everyone at Workday to innovate.
Integrity: We fundamentally believe in doing the right thing, even when it"s difficult. We say what we mean, and mean what we say. We honor our commitments, treat everyone equally, and cherish honesty above all else.
Profitability: Profitability is important to us, but it"s how we achieve it that truly matters. So we do the right thing, live our values, and make every day fun. Because we know profitability is a by-product of happy employees and happy customers.
Given data from the world bank, provide insights on a small CSV file.
Write a C++ class to perform garbage collection.
Given 2 sorted arrays, merge them into 1 array. If the first array has enough space for 2, how do you merge the 2 without using extra space?
Different classification algorithms
Logistic regression vs neural network
Integer array - get pairs of values that equal a certain target value.
How would you improve the complexity of a list merging algorithm from quadratic to linear?
Stage 1: Phone screen with a recruiter.
Stage 2: Technical phone interview with hiring manager. The questions are typical machine learning and data science questions - with some data structures and algorithms questions.
Stage 3: Onsite interview. The onsite consists of 5 interviews with different team members, hiring managers, and executives. The questions are about programming skills, algorithmic skills, data structures, and anything related to machine learning techniques.
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.