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Data Science Challenges at Instacart

tech.instacart.com

11–20 of 65 posts

Re: Data Science Challenges at Instacart

#11
On this note: My team and I at Analytical Flavor Systems[1] wrote a blog post on how we go about hiring data science interns[2]. It's heavier on the technical details, and suffers from less... romanticism....

[1] www.gastrograph.com

[2] https://gastrograph.com/blogs/gastronexus/interviewing-data-...

Re: Data Science Challenges at Instacart

#12

My friend works at Instacart, she says it totally sucks. Mainly because there's no guaranteed hourly pay and what she gets paid depends entirely on what the customers decide to give out as a tip. So for example sometimes she spends an hour grocery shopping for someone, then 30 minutes to drive to their house, and then the person can just arbitrarily decide to tip her $10. So she makes $10 for 90 minutes of work? That…

Your comment implies that Instacart pays their employees $0. That can't be true.

Re: Data Science Challenges at Instacart

#13
post #6

Behind the scenes, Instacart is a revolutionary new e-commerce marketplace, an incredibly sophisticated last-mile logistics engine, and a dynamic source of work for thousands of personal shoppers. Each of these aspects of Instacart could be a whole company elsewhere, and data science plays a key role in our success in each endeavor. In this article, I (our VP Data Science) highlight some challenges the data science t…

fyi I interviewed for this team and 2 notes: 1 - I've been doing ad optimization / user classification / propensity scoring / product recommendations, warned them that I took a couple stochastic processes classes but haven't used them for a decade, and that I was entirely unsuited for OR type problems. They said that was ok and they where hiring for things I was suited for. Great. My in-person interview was primarily…

We work hard to get back to candidates quickly - in some cases the same day as they interview, but at least the day after if not. We know the market is very competitive and want candidates to make the best decisions they can - so it's in our best interest to act quickly! We are always working to improve how we screen, interview and respond to candidates in hiring, so will take this feedback to heart. Thank you for providing it.

Regarding the focus on OR, that was definitely the case for our first few years, and while it's still important, we have definitely expanded our focus beyond it.

Re: Data Science Challenges at Instacart

#14

Behind the scenes, Instacart is a revolutionary new e-commerce marketplace, an incredibly sophisticated last-mile logistics engine, and a dynamic source of work for thousands of personal shoppers. Each of these aspects of Instacart could be a whole company elsewhere, and data science plays a key role in our success in each endeavor. In this article, I (our VP Data Science) highlight some challenges the data science t…

>“We will take full ownership of our projects. We take pride in our work and relentlessly execute to get things completely finished.” Does this mean that as an employee, or ex-employee, I can take my owned projects with me and use them for my own purposes?

We've worked hard to open source projects whenever we think they'll be useful broadly: https://www.instacart.com/opensource. There is definitely more of this we can (and I hope will) do in the future.

Re: Data Science Challenges at Instacart

#15

I'm all for data science, but I think this article romanticizes the field a bit too much (the random pictures of employees being thoughtful do not help). Listing the problems Instacart has which can be solved through applied statistics is one thing. The other, more important thing, is how exactly data science works to solve problems, with technical detail, as opposed to data science being some mystical unexplained po…

I find that great data scientists care a tremendous amount about the problems they tackle and the impact they have, and less so the specific methods used. But we will definitely write more in the future on details. Here I wanted to share the range of problems, how we organize (not commonly discussed) and what we look for in candidates. That can be useful to other startups looking to build data science teams.

Re: Data Science Challenges at Instacart

#16
post #12

My friend works at Instacart, she says it totally sucks. Mainly because there's no guaranteed hourly pay and what she gets paid depends entirely on what the customers decide to give out as a tip. So for example sometimes she spends an hour grocery shopping for someone, then 30 minutes to drive to their house, and then the person can just arbitrarily decide to tip her $10. So she makes $10 for 90 minutes of work? That…

Your comment implies that Instacart pays their employees $0. That can't be true.

[deleted]

Re: Data Science Challenges at Instacart

#17
post #6

Earlier quoted context omitted.

fyi I interviewed for this team and 2 notes: 1 - I've been doing ad optimization / user classification / propensity scoring / product recommendations, warned them that I took a couple stochastic processes classes but haven't used them for a decade, and that I was entirely unsuited for OR type problems. They said that was ok and they where hiring for things I was suited for. Great. My in-person interview was primarily…

We work hard to get back to candidates quickly - in some cases the same day as they interview, but at least the day after if not. We know the market is very competitive and want candidates to make the best decisions they can - so it's in our best interest to act quickly! We are always working to improve how we screen, interview and respond to candidates in hiring, so will take this feedback to heart. Thank you for pr…

Not sure if you realize but all your responses here seem terribly canned. That's probably also why your first comment in this thread is being downvoted.

Re: Data Science Challenges at Instacart

#18

On this note: My team and I at Analytical Flavor Systems[1] wrote a blog post on how we go about hiring data science interns[2]. It's heavier on the technical details, and suffers from less... romanticism.... [1] www.gastrograph.com [2] https://gastrograph.com/blogs/gastronexus/interviewing-data-...

There is definitely more technical detail and statistical process in that post, although I strongly question the use of a hiring test that intricate and time consuming for an internship.

Re: Data Science Challenges at Instacart

#19
post #12

My friend works at Instacart, she says it totally sucks. Mainly because there's no guaranteed hourly pay and what she gets paid depends entirely on what the customers decide to give out as a tip. So for example sometimes she spends an hour grocery shopping for someone, then 30 minutes to drive to their house, and then the person can just arbitrarily decide to tip her $10. So she makes $10 for 90 minutes of work? That…

Your comment implies that Instacart pays their employees $0. That can't be true.

They're not "employees," they're "private contractors"... but from what she told me, their is no absolutely zero base pay unless you're working in the city of SF. Everywhere else, Oakland, the Peninsula is $0 an hour and your only income is from the tips.

I really drilled her on this because at first I couldn't believe it and she's not the most savvy person so I wanted to make sure she realized how after gas expenses, wear and tear on her car and the additional 7.65% in FICA that she's going to have to pay (the half normally covered by employers), she's really only making about $5-$7 an hour, if that. Also the job really eats up all the data on her phone because she has be on her phone for Instacart to scan and check off every grocery item she puts in the basket, then use their GPS system for the deliveries, and it's not like they reimburse her for any of that. Instacart sold her on the job promising $20-$25 an hour and she's absolutely not been making anywhere NEAR that.

By way of comparison, she makes a guaranteed $20 an hour under the table walking dogs, so I think she is going to go back to doing that.

This article seems to verify:

> Instacart declined to confirm whether it offers base pay, and some Instacart workers told HuffPost they are not offered an hourly guaranteed wage.

> “It’s a really strange job, and there are many weeks where you’re just sitting in the car waiting for orders and hoping something comes in, not being paid to be there,” one of Instacart’s personal shoppers

http://www.huffingtonpost.com/2015/02/02/instacart-workers_n...

Re: Data Science Challenges at Instacart

#20

My friend works at Instacart, she says it totally sucks. Mainly because there's no guaranteed hourly pay and what she gets paid depends entirely on what the customers decide to give out as a tip. So for example sometimes she spends an hour grocery shopping for someone, then 30 minutes to drive to their house, and then the person can just arbitrarily decide to tip her $10. So she makes $10 for 90 minutes of work? That…

I definitely understand your frustration, but calling the people cheap idiots seems a bit harsh. Does Instacart give tipping guidance? As a user, I would just assume they pay reasonable wages and a tip should be just that... a tip, not a living wage.
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