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Engineering a Platform
Scaling DataScience
Who is DataScience?
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● Do you need…● …insights about your data?● …to hire or train data scientists to provide
actionable insights?● …a platform for consuming cutting-edge
data science and publishing within your org, without having data scientists doing ops work?
● …to focus your data scientists on your core business, while we provide models for LTV, pricing, retention and more?
● Visit www.datascience.com!
Two Primary Challenges
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● Rapid Team Growth● Team member onboarding
requires a low-risk, standardized toolchain. Time to first contribution is measured in hours, not days or weeks.
● Dynamic Tooling Landscape● Best-of-breed data tools are
always changing. Our culture and platform encourage experimentation and evaluation of new tools and techniques.
Rapid Onboarding
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● A packaged virtual development environment● No wrestling with complex
system dependencies and version compatibilities
● A clean starting point to quickly retreat at any time
● Monitoring and diagnostics● Scripted automation for
customizing per user
Rapid Onboarding
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● Upgrades are vetted in advance prior to wide release
● Continuous integration provides automated feedback
● Group chat pushes institutional knowledge out into searchable, company-wide record.
● A culture of sharing and demonstration
Dynamic Landscape
● Configuration management to quickly compose systems based on requirements
● Software tools are constantly evolving. A robust virtual environment promotes experimentation and iteration.
● Think in terms of categories of tools not specific techs.
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Dynamic Landscape
● Version control: track changesto analysis over time. promote reproducibility
● Automated testing: An engineering approach to analysis quality
● Integrated publishing: A publishing workflow that closely follows the underlying analysis
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Thank you. Questions?
We’re hiring.
Appendix: Rapid Onboarding
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Appendix: Dynamic Landscape
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Thank you.