Working at Domino Data Lab | Glassdoor

Domino Data Lab Overview

San Francisco, CA
51 to 200 employees
2013
Company - Private
Enterprise Software & Network Solutions
Unknown / Non-Applicable
Domino is helping companies maximize the value of their quantitative research. 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 ... Read more

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

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.

  • Learn more about Domino through a Q&A with our CEO, Nick Elprin: http://glassdoor.com/slink.htm?key=vQDPt

    Q&A with Domino Data Lab's CEO

    The field of data science is fairly young and evolving extremely rapidly. Finding people who can harness the tornado of big data tech is a major challenge. One of the up and coming vendors who are making data science more accessible is Domino Data Lab.

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Domino Data Lab – Why Work For Us?


One Place for Data Science Work

Develop, deploy, and collaborate — using your existing tools and languages.

Domino accelerates the development and delivery of models with key capabilities of infrastructure automation, seamless collaboration, and automated reproducibility. This greatly increases the productivity of data scientists and removes bottlenecks in the data science lifecycle.

Compute Grid & Environment Management enables more data science and less devops

  • Avoid overwhelming your local machine by leveraging scalable compute with powerful, centralized hardware — in the cloud or on premise.
  • Eliminate barriers to leveraging latest deep learning techniques with one-click access to GPU hardware.
  • Reduce software configuration time by running your code in Docker containers, configured to create shared, reusable, revisioned Compute Environments.

Collaboration Hub & Reproducibility Engine

Increase productivity and reduce risk, together

  • Reduce key-man and operational risk by automatically preserving all key project information with Domino’s containerization and dependency map– save data, software configurations, code, parameters, results, discussion, and delivered artifacts as they happen.
  • Streamline knowledgement management with all projects stored, searchable, and forkable.
  • Avoid a cold start by using native integrations with popular source control systems like GitHub.

Data Science Workbench

Faster iteration and experimentation

  • Work instantly by spinning up interactive workspaces with one click — using the tools you already know and love, e.g., Jupyter, RStudio, SAS, and Zeppelin.
  • Tackle complex problems by running, tracking, and comparing batch experiments in parallel with any language, even commercial languages like SAS or Matlab.
  • Minimize changes to your existing workflow by connecting to any data including cloud databases and distributed systems like Hadoop and Spark
  • Instantly leverage all popular tools with the our pre-packaged Domino Analytics Distribution (includes database drivers, Anaconda Python, popular deep learning packages, visualization packages, etc.) Or customize your own environment without risk of affecting other users.

Faster Delivery and manage scalable data products

  • Eliminate delays and risk from recoding of models by deploying models as batch or real-time APIs of your Python and R models.
  • Support web-scale processes with horizontal scalability.
  • Minimize delivery risk with instant rollback to old versions of models.
  • Measure ROI faster: Split traffic across versions to do A/B testing.

Deliver powerful insights to stakeholders

  • Communicate business benefits. Publish visualizations using open source data science tools, including knitr, Plotly, D3, etc. or for commercial tools like Tableau.
  • Expose complex results in business-friendly manner. Publish interactive dashboards and web apps using Shiny and Flask.
  • Remove low-value admin work. Schedule recurring tasks to update reports — serve results through the web or send to stakeholders via email.

Enterprise Identity and Access Management

  • Seamlessly manage platform as integral asset in enterprise IT stack with cost controls and governance.
  • Manage security for consuming and modifying production models.
  • Automate identity management with integrations into LDAP.
  • Manage hand-offs, sensitive information, and regulatory standards with integrated and granular user access management.

Domino is helping companies maximize the value of their quantitative research.
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.



Domino Data Lab Reviews

4.9
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Nick Elprin
8 Ratings
  • "Great product. Great people."

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    • Culture & Values
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    • Senior Management
    Current Employee - Anonymous Employee
    Current Employee - Anonymous Employee
    Recommends
    Positive Outlook
    Approves of CEO

    I have been working at Domino Data Lab full-time

    Pros

    Smart team.
    Interesting customers to work with.
    Very solid product that customers love.
    Committed to excellence, and getting better all the time.

    Cons

    It's a start up, so lots of hard work.
    A lot of the basic operating principles are still being worked out.

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Domino Data Lab Photos

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Domino Data Lab Interviews

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    Software Engineer Interview

    Anonymous Interview Candidate
    No Offer
    Negative Experience
    Easy Interview

    Application

    I applied online. I interviewed at Domino Data Lab in October 2017.

    Interview

    Recruiter reached out after I applied online, did a take home interview for some data manipulation, but recruiter never responded. Wasn't informed why but it would be polite to get back at least!

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Domino Data Lab Awards & Accolades

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