Data Science Mathematician by training - specialized in Machine Learning Supply Chain Management Customer Churn optimization for B2B in the Pharmaceutical industry Customer Segmentation for Event Management at Letsface.cn Sentiment analysis for a large financial consultancy Web crawl data analysis at Import.io
a career And I decided Academia wasn't for me. And I decided Academia wasn't for me. So I became a data scientist! So I became a data scientist! Now what skills does a data scientist have? Now what skills does a data scientist have?
hardest thing to learn has been.. “Being a data scientist is not only about data crunching. It’s about understanding the business challenge, creating some valuable actionable insights to the data, and communicating their findings to the business.” Jean-Paul Isson, Monster Worldwide, Inc.
talking about Big Data? "We project a need for 1.5 million additional managers and analysts in the United States who can ask the right questions and consume the results of the analysis of Big Data effectively." - , McKinsey report Big data: The next frontier for innovation, competition, and productivity
is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it... - Professor Dan Ariely - Duke University
data scientist This talk is aimed at helping you understand if you This talk is aimed at helping you understand if you need to hire a 'data scientist'. need to hire a 'data scientist'.
Wind sensor data is too Wind sensor data is too 'Source: English Wikipedia, original upload 15 July 2004 by - Creative Commons Sharealike license Leonard G.
hard Building models is hard Asking the right business questions is even harder I often have to borrow lots of peoples brains to get to the right business questions...
methodology for the job Text -> topic modelling, sentiment analysis, information extraction E-commerce data -> prospensity analysis, collaborative filtering Multimedia -> speech-to-text, audio fingerprinting, face recognition Clickstream logs -> frequent pattern mining, sequence analysis Proton-proton collision from LHC -> I have no idea despite having a Physics degree
A data product provides actionable information without exposing decision makers to the underlying data or analytics. Examples include: Movie Recommendations, Weather Forecasts,Stock Market Predictions, Production Process Improvements, Health Diagnosis, Flu Trend Predictions, Targeted Advertising. – Mark Herman, et al., Field Guide to Data Science
of science and models to really complex human problems Such as: Who is buying our product, why are they leaving our service. Data scientists leverage mathematics and computer science to deliver business value such as smoother operations, enhancing your marketing strategy or forecasting supply and demand. In short data scientists help you prepare for the future.
Analytics: In the Game Industry the Game Industry 1) Uses gamers play data to optimize marketing communications across channels. - Customer segmentation modelling 2) Building Personalization Engine Rules for 1:1 communications with individual gamers. To help reduce customer churn. 3) Predicts gamers likelihood to churn or to respond to up-sell offers.
forecasting? Do you mean the weather? (In Ireland and the UK it is quite easy - just guess rain (In Ireland and the UK it is quite easy - just guess rain all the time!) all the time!) But there are other kinds of forecasts such as supply But there are other kinds of forecasts such as supply chain forecasts or demand forecasts.... chain forecasts or demand forecasts....
Tableau an excellent data science product - based on laptop sized data sets. Similar to my Amazon work. However these can also be built with open source tools.
is hard "It’s Difficult to "It’s Difficult to Make Predictions, Make Predictions, Especially About Especially About the Future" - the Future" - Niels Bohr Niels Bohr
website change. Luckily they measured it. They learned the website Luckily they measured it. They learned the website change was a bad decision. change was a bad decision.
for NGO's This is a web app of house prices and commutes, done for an NGO in London who wanted to show the effects of changes in house prices on peoples commutes.
in Mexico - - Mexico - Presidencia de la Republica Mexico - Presidencia de la Republica The maternal deaths in Mexico from pregnancy, childbirth or postpartum complications have decreased from 89 deaths per 100,000 live births in 1990 to 43 in 2011. Despite this improvement, the rate of decline has significantly slowed and Mexico is not on track to achieve its Millennium Development Goal of reducing maternal mortality 75% by 2015.
data can even predict 49 out of 50 states even predict 49 out of 50 states in the last American election. in the last American election. And that Obama would be the president!
would I need a data scientist? You may already have one. I know numerous business intelligence, data analysts, business analysts, risk analysts who ARE data scientists. Alternatively you can hire a data analytics consultant to help you get started. But what signals should I look for? Well there are many answers... Like...
Are you not taking full advantage of your reporting? Are you not taking full advantage of your reporting? Do you need a high level visual overview of your Do you need a high level visual overview of your operations? operations? Are you targeting your marketing efforts effectively by Are you targeting your marketing efforts effectively by using the right customer segmentation - by age or using the right customer segmentation - by age or gender for example? gender for example?
understanding Are you losing customers and not understanding why? why? Are you making decisions on the basis of data or on Are you making decisions on the basis of data or on the basis of 'gut feeling'? the basis of 'gut feeling'? Are you changing your websites or products on the Are you changing your websites or products on the basis of data driven experimentation? basis of data driven experimentation?
clients: you may have situations where you need the data scientists to talk directly to clients or to their data scientists. This is yet another reason to make sure you hire someone with excellent communication skills, because they will be representing your business to really smart people.
A lot of my work at the moment is mathematical communication with external stakeholders and Professors. At Amazon a lot of my work was with Research Scientists in Optimization. Translating their ideas for business stakeholders. I often have to translate from the 'business' to the 'software' team. Do you have someone like that on YOUR team?
I hope it is also clear how data can be used in whatever field you work in. I hope it is also clear that 'big data' is not something to be scared of but should be part of your organizations strategy. I know that developing a data-driven culture is extremely difficult.
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