ELS2014 - Add a Data Scientist to your Startup or Call it Quits
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The document discusses adding a data scientist to a startup. It recommends having someone manage metrics to only measure what is important. Vanity metrics may hide problems. A data scientist can help achieve goals through acquisition, activation, retention, referral, and revenue using tools like SEO, SEM, campaigns, emails, landing pages, and product features. A data scientist role may fit within the build-measure-learn cycle and on the tech or product team. The document provides resources on data science basics and roles at startups.
ELS2014 - Add a Data Scientist to your Startup or Call it Quits
- 1. Add a Data Scientist to your startup… or call it Quits #ELS2014
- 2. A service to read and discover digital books that works on any device
- 5. #ELS2014
- 6. 2. Have someone taking care of your metrics #ELS2014
- 7. 3. Only measure what you truly care about @justohidalgo
- 8. 4. Beware vanity metrics…
- 9. … they may hide an awful truth
- 10. AARRR Acquire Activate Retain Refer Get Revenue SEO SEM Campaigns Email Blogs … Landing Page Product Features … Content (blogs, articles, …) Emails Alerts … Campaigns Emails … Shopping cart Subscriptions Lead Gen … traffic social business
- 11. @justohidalgo
- 13. Don’t be data- driven… … be data- informed… #ELS2014
- 16. #ELS2014
- 17. DATA SCIENCE SO EASY A CAVEMAN CAN DO IT #ELS2014
- 21. Yes, Data Science is a Frankenstein monster… but start working on it… #ELS2014
- 23. Basics: • DS vs Statistics, Mathematics, Engineering, … • Main research, techniques, tools, etc. • What can startups potentially achieve with DS? Beyond: • Can there be a Lean Data Scientist role? • How does it match the Build- Measure-Learn cycle (at startup full speed?) • Should it be part of the tech team, product team, horizontal, …? Workshop Goals @justohidalgo
- 24. Join me at 11.30AM! ;) @justohidalgo Justo Hidalgo jhidalgo@24symbols.com Aula Mª Fdez. del Amo (Planta Baja)
- 25. Resources ■ http://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st- century/ ■ http://www.allenai.org/Content/Publications/Etzioni-- Data_Scientists_Guide_to_Start-Ups.pdf ■ https://www.kaggle.com/ ■ http://jeroenjanssens.com/2013/09/19/seven-command-line-tools-for- data-science.html ■ http://www.boozallen.com/content/dam/boozallen/media/file/The-Field- Guide-to-Data-Science.pdf ■ http://www.forbes.com/sites/gilpress/2013/05/28/a-very-short-history-of- data-science/ ■ http://www.wolfram.com/data-science-platform/ ■ Online courses: • https://www.udacity.com/courses#!/data-science • https://www.coursera.org/specialization/jhudatascience/ • https://www.datacamp.com/
- 26. Credits ■ http://www.flickr.com/photos/qualityandstyle/4628275080/ ■ http://enpundit.s3.amazonaws.com/wp- content/uploads/2013/07/gym-teacher-yearbook-photo-1.jpg ■ http://nirvacana.com/thoughts/becoming-a-data-scientist/ ■ http://rlv.zcache.com/little_unicorn_with_pink_mane_tie- r63d74334bf074562988a6286e0081cdb_v9whb_8byvr_324.jpg ■ http://www.thebigdatainsightgroup.com/site/sites/default/files/clo ud24ii_0.jpg ■ https://www.flickr.com/photos/domiriel/6003445548
Editor's Notes
- #11: http://www.flickr.com/photos/qualityandstyle/4628275080/ Ockham’s razor, also spelled Occam’s razor, also called law of economy or law of parsimony, principle stated by William of Ockham (1285–1347/49), a Scholastic, that Pluralitas non est ponenda sine necessitate, “Plurality should not be posited without necessity.” The principle gives precedence to simplicity; of two competing theories, the simpler explanation of an entity is to be preferred. The principle is also expressed as “Entities are not to be multiplied beyond necessity.” All metrics are ACTIONABLE If you don’t plan to do anything with a metric, DON’T MEASURE IT! i.e. Don’t waste your valuable and limited time Kill useless metrics.
- #14: Based on Dave McClure’s AARRR metrics model (http://500hats.typepad.com/500blogs/2007/09/startup-metrics.html)
- #16: http://enpundit.s3.amazonaws.com/wp-content/uploads/2013/07/gym-teacher-yearbook-photo-1.jpg
- #22: http://nirvacana.com/thoughts/becoming-a-data-scientist/
- #24: http://rlv.zcache.com/little_unicorn_with_pink_mane_tie-r63d74334bf074562988a6286e0081cdb_v9whb_8byvr_324.jpg
- #25: http://www.thebigdatainsightgroup.com/site/sites/default/files/cloud24ii_0.jpg
- #26: http://www.techrepublic.com/article/run-a-modified-lean-six-sigma-blitz-to-solve-data-science-problems/ https://www.flickr.com/photos/domiriel/6003445548