Domino Data Lab Careers | Glassdoor

Domino Data Lab Overview

San Francisco, CA
51 to 200 employees
2013
Company - Private
Information Technology
Unknown / Non-Applicable
Unknown
We’re building the platform that enables thousands of data scientists to develop better medicines, grow more productive crops, build better cars, or simply recommend the best song to play next.

Data scientists are being called upon to solve ever ... Read more

Mission: Our mission is to help data scientists across industries develop and deploy ideas faster with collaborative, reusable, reproducible analysis.

Domino Data Lab Reviews

4.9
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Nick Elprin
5 Ratings
  • "Go Domino!"

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    • Work/Life Balance
    • Culture & Values
    • Career Opportunities
    • Comp & Benefits
    • Senior Management
    Current Employee - Director of Sales in San Francisco, CA
    Current Employee - Director of Sales in San Francisco, CA
    Recommends
    Positive Outlook
    Approves of CEO

    I have been working at Domino Data Lab full-time (Less than a year)

    Pros

    Smart people who listen to direct feedback. This takes a bit of getting used to at the inception, but is universally a positive. The team moves quickly with new ideas & works earnestly to improve the platform in ways that make sense for all of our customers & for our future vision.

    Cons

    As with any startup there are times where you're wearing more hats than you may be comfortable with. However, this is as much of a pro as it is a con when you consider what a stellar learning experience it is.

    Advice to Management

    Trust your employees to thrive in the environment you've set up. Continue to set direction and manage, but work to find higher value tasks that will deliver faster growth - rather than getting mired in detail. Hire more marketing.

See All 7 Reviews

Domino Data Lab Photos

Domino Data Lab photo of: Discussing product strategy
Domino Data Lab photo of: One-on-one meeting
Domino Data Lab photo of: Hard at work coding
Domino Data Lab photo of: Brainstorming
Domino Data Lab photo of: Reviewing some work
Domino Data Lab photo of: Gaining perspective
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Domino Data Lab Interviews

Experience

Experience
66%
11%
22%

Getting an Interview

Getting an Interview
33%
33%
22%
11

Difficulty

3.0
Average

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  1.  

    Customer Success Engineer Interview

    Anonymous Employee in San Francisco, CA
    Accepted Offer
    Positive Experience
    Difficult Interview

    Application

    I applied through an employee referral. The process took 5+ weeks. I interviewed at Domino Data Lab (San Francisco, CA) in July 2017.

    Interview

    Having been both an individual contributor as well as a hiring manager with multiple companies, it is not an exaggeration when I say I've reviewed ~1000 resumes and been involved in ~100 interviews.

    The operative word is resume. Due to rigid HR screening and traditional recruiters, the recruiting process hinged on resume review rather than actionable qualifiers.

    Domino was a refreshing process, beginning to end. Rather than asking me to regurgitate my work experience, we discussed culture, what motivates me, engaged in role playing, and partook in a rather rousing take home challenge. The challenge allowed me to get creative on how to take an NLTK classification model from ideation to model deployment via the platforms powerful, yet simple, API endpoints.

    Imagine that, hiring based on merit over resume writing

    Interview Questions

    • Explain containers to your grandmother   Answer Question
    • What is one time in your career you are especially proud of?   Answer Question
    • Series of questions regarding the solution I created for the take home challenge   Answer Question
See All 9 Interviews

Company Updates

  • Domino raises an unsolicited $27M from Coatue to continue shaping how Data Science work is done http://glassdoor.com/slink.htm?key=vQB5X

    Hedge Fund Coatue Bets on Data Science With Investment in Domino Data Lab

    Data scientists at Coatue Management LLC spent the last few years digging into new data sets to gain an edge in investing. Now, the firm is betting on data science itself as hedge funds across Wall Street push into "big data" analysis to find trading opportunities.

  • Domino Data Lab builds our model publishing infrastructure on Kubernetes to allow data science teams to publish enterprise-grade API endpoints right from model development. http://glassdoor.com/slink.htm?key=vQtNa

    Model Deployment Powered by Kubernetes

    In this article we explain how we're using Kubernetes to enable data scientists to deploy predictive models as production-grade APIs. Domino lets users publish R or Python models as REST APIs, so they can easily integrate data science projects into existing applications and business processes without involving engineers or devops resources.

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Domino Data Lab Awards & Accolades

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