Founder launches a startup. The startup begins building a product. It urgently needs to get that product to market. To do so, the startup needs technical talent — yesterday. Engineers interview at the startup.
The hiring manager or the founder or VPE early on likes a candidate and makes an offer. The engineer asks for more — substantially more. Rinse, cycle, repeat — and more engineers join. Headcount increases. The product launches.
The company grows. Under pressure, startups have a need for speed that makes freestyle negotiations or plug-and-play comp data resources attractive. So they got to work. Flash forward a few years. Years ago, there were compensation discrepancies — to the tune of tens of thousands of dollars — between engineers of the same rank.
The trio admits that their efforts are still a work in progress, but their changes have not only improved the candidate experience, but also have helped Instacart calibrate and project how its current team can grow. In this exclusive interview, Stanley, Nir and Baier deconstruct how they are building a more transparent and trustworthy compensation culture.
They start by sharing when and how they use third party comp data as an input to create a customized algorithm. They also break down the different sources of data to add in. Lastly, they share how to integrate this information into their hiring process when salary and equity is discussed — and how to stay competitive as your company and market change.
Questions at Instacart interviews
At its stage of growth, the company found it needed a more sophisticated approach. For us, we noticed that conversations with candidates generated a lot of questions and back-and-forth. We just knew we wanted to be more consistent about compensation — and make it clear that we operate on a methodology that is clear and competitive. Because when you grow, that pain increases exponentially. Now, before a candidate meets a hiring manager at Instacart, the company has three types of information at its fingertips: market data, interview data from past candidates, and a rubric to help assess the contribution level of candidates.
Each of the categories comes from its own amalgamation of data streams, which the Instacart trio helped identify, weigh and finetune. Among the three categorical inputs for compensation at Instacart, market data is where the company continues to conduct most of its analysis. While that may sound straightforward, it takes some filtering of the talent funnel to get right.
Give data to get data.These pages are meant to provide helpful information about how to get a software engineering, product manager, data science, and designer job at Instacart.
Being prepared and knowledgeable is a key to every step of the hiring process. You can tab through each part of the guide to see information that can be helpful to your stage from office location for those trying to figure out if a company has a presence in your city of choice to real world interview questions.
We hope you find these helpful and if you have content that you think we should add or think we got anything wrong, please email us at corrections pathrise. The interview process for a software engineer can take weeks. Stage 1: Phone screen with recruiter Stage 2: Phone interview with engineer Stage 3: At-home coding tests 2 Stage 4: Pair-programming technical exercise Stage 5: Onsite interview The onsite involves a code test to implement a specific app, pair programming, and behavioral questions about their values.
Stage 6: Meet with the CEO. The interview process for a data scientist can take weeks. The interview process for a product manager can take weeks. Mission At Instacart we aim to give our customers back their invaluable time so they can spend it doing the things they love with the people they love. Every minute counts. Get hired. About this guide These pages are meant to provide helpful information about how to get a software engineering, product manager, data science, and designer job at Instacart.
Get Hired. What we know. Instacart is one of the fastest growing companies in e-commerce.Grocery delivery service tips and challenges l GMA
No data. Within a few hours, implement an app from a specification. Implement a key-value datastore that supports querying for historic values. For every key there can be multiple values at different timestamps and it should support querying by only a key or by a key and timestamp.
Describe a project where you had an impact. What was the most challenging project you worked on? What was something you did wrong in a past role and how did you fix it? Build a website with some required functionality. Build a shopper site with analytics.
Build a system to accept or reject payment.The question, "How do you or did you handle a challenge?
10 Essential Data Analyst Interview Questions and Answers
On the other hand, there are multiple ways to handle a challenge. One company might prefer an employee who takes a measured, methodological, and planned approach, whereas another organization might prefer individuals who dive in and do all they can to meet the challenge, without necessarily thinking of the bigger picture.
Every employee will face challenges from time to time. With this question, interviewers want to get a sense of your approach. Depending on the office culture, some approaches will make more sense than others. Step 1: Recall a challenge that was significant, but one that you consider a success. You also want to be able to define how you met the challenge successfully. Use specifics to describe what you did to contribute to the solution.
Employers want to hire individuals who can turn challenges into opportunities. When brainstorming an answer, think about ways to emphasize how you made the most of a difficult time.
It is possible to learn from your hardships, and then apply what you learned to future challenges. During a difficult financial period, I was able to satisfactorily negotiate repayment schedules with multiple vendors. From this experience, I learned the importance of thinking outside the box while solving a problem. I also learned the importance of developing and maintaining good relationships with vendors.
Why It Works: This response clearly lays out how the candidate was able to meet this challenge. Plus, this response also highlights new abilities and know-how gained in response to this challenge.
We were able to successfully troubleshoot the issues and solve the problems, within a very short period of time, and without completely burning out our team. Why It Works: This answer highlights two qualities that are often very important to employers: staying on schedule, and motivating employees. If this response had stopped at the first sentence, it would be vague—those extra details on the "how" of tackling this challenge make such a difference in this answer's power.
A long-term client was about to take their business to a competitor. I met with the customer and was able to change how we handled the account on a day-to-day basis, in order to keep the business. From this situation, I learned the importance of being mindful of client relations and operations, not just after issues arise, but for the duration of the relationship.We analyzed interview reviews for Instacart from various job sites, social network groups and forums.
Here are the most frequent job interview questions asked by HR managers during initial phone or onsite interviews. This list does not include technical or factual questions. This question may sound vague, but it actually requires a matter of fact, concise and relevant answer.
What is your current occupation? Define yourself professionally in one statement. Pick 3 key skills that make you great at your work your Key Selling Points. How have you applied these skills? Try to give some numbers to support your statement. Research the Company. Based on what you know about the company and the job description, why are you interested in the position you are applying for?
Based on your Key Selling Points and your knowledge about the company, why do you think you are a good fit for this position? Can you support your statement with relevant examples from your past experiences? Try to be concise and stay within minutes. Read our blog post to learn more about how to answer this question. People skills are highly valued in every company, and even so much more so in a company that deals with difficult customers occasionally.
It is important to show how you can manage difficult personalities. Look back on your experience. Have you worked with a difficult or disruptive person? Remember how you diffused the situation and how you turned things around. Do you have certain principles, or methodology, to deal with difficult people?
Do you have strong people skills, are you good at conflict resolution? Are you high on emotional intelligence?Dress smartly, offer a firm handshake, always maintain eye contact, and act confidently. As well as technical skills, employers want to assess whether you will fit into their company in a personal sense. Interviews can be scary. What if you had a list of 10 questions that you may be asked by the interviewer so that you feel prepared and confident?
Right here, we have the answer. Below you will find questions that you can practice with in advance and gain the confidence you need to walk into your interview assertive and prepared! There are many roles out there for data analysts within various industries.
This question will tell the interviewer about your thought process in choosing this role. Answer this question with the STAR method by explaining the key reasons you want to be a data analyst as well as which key skills you have for the role:.
There are many different types of data analyst, including operations analysts, marketing analystsfinancial analystsand more. Explain which type you prefer. In addition, I have seen that the companies who hire for this role work in industries that are booming and can therefore provide good career growth.
This question tells the interviewer if you have the hard skills needed and can provide insight into what areas you might need training in. In your answer, include the software the job ad emphasized, any experience with that software you have, and use familiar terminology. I can also create databases in Access and make tables in Excel. With a question like this, the interviewer is gaining insight into how you approach and solve problems.
It also provides an idea of the type of work you have already done. Be sure to explain the event, action, and result EARavoid blaming others, and explain why this project was difficult:. I had to predict how many animals would survive to, and I have high confidence in the results. After all, technology is only as good and reliable as the people behind it.
In your answer include: how you identified the variables, how you communicated them, and ideas you had to find the answer. Communication is key in any position.
Specifically, with a data analyst role, you will be expected to successfully present your findings and collaborate with the team. Assure them of your ability to communicate with an answer like this:. I think communication is extremely valuable in a role like this, specifically when presenting my findings so that everyone understands the overall message. The best way to answer this question is to give an example of how you have handled stress in a previous job.
That way, the interviewer can get a clear picture of how well you work in stressful situations. Avoid mentioning a time when you put yourself in a needlessly stressful situation. Rather, describe a time when you were given a difficult task or multiple assignments and rose to the occasion:. I thrive under quick deadlines and multiple projects. For example, I once had three large projects due in the same week, which was a lot of pressure.
However, because I created a schedule that detailed how I would break down each project into small assignments, I completed all three projects ahead of time and avoided additional stress.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again. If nothing happens, download the GitHub extension for Visual Studio and try again. Python code in this repo utilizes packages that are not part of the common library. To make sure you have all of the appropriate packages, please install Anacondaand install the environment described in environment.
Part 1 and Part 2 are example code. They have not been validated against the tables described in the instructions, and as such should not be considered compile-ready. Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. Uber provided Data Science take home.
Python Branch: master. Find file. Sign in Sign up. Go back. Launching Xcode If nothing happens, download Xcode and try again.
Data Science at Instacart: Making On-Demand Profitable
Latest commit. Brendan J. Herger adding to Repo structure section of readme. Latest commit 7dc6 Aug 3, Python Environment Python code in this repo utilizes packages that are not part of the common library. To run code Part 1 and Part 2 are example code. To run the Python code for Part 3, complete the following: Install anaconda environment conda env create -f environment.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Aug 2, Aug 1, GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. If nothing happens, download GitHub Desktop and try again. If nothing happens, download Xcode and try again.
If nothing happens, download the GitHub extension for Visual Studio and try again. The backend of the code here is solid, though the front-end is rather unimpressive.
Using bootstrap I was able to make something passable, but hardly attractive. Please build this like you would an actual project you're working on. It should be production-ready code that you're proud of. Instacart Shoppers are the face of the company - literally - and as such, we require them to go through a rigorous process before they can deliver your groceries. This includes a comprehensive application as well as a training process. This challenge is broken into two parts.
The first part is implementing the public-facing site that a prospective Instacart Shopper would see when hearing about the opportunities that Instacart offers. The second is writing analytics to monitor the progress of shoppers through the hiring funnel. Instead of tracking prospective Instacart Shoppers through a third-party service, we want to build the application in-house. We are looking primarily for a good "product sense.
The best submissions include the following:. To monitor how well applicants are being moved through the hiring process, we want to build a simple funnel that tracks how many applicants are in each step of the process by week. We'll use this data to look for places to improve our Personal Shopper screening process. We're particular interested in the speed of your implementation, so please consider performance as you work through this part of the challenge.
Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. No description, website, or topics provided.
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