If you are a data scientist, you are in luck. That’s the hottest job title in the analytic world right now. And LinkedIn is the hottest site for professionals who want to connect.
So, if you’re looking for a new job, or a better job, this is the time to do it—and LinkedIn is one of the best places for you to be. Here are the top six LinkedIn groups for those seeking to connect in the data science space.
1) Advanced Business Analytics, Data Mining and Predictive Modeling
This professional group has been around since 2007 and boasts more than 100,000 members. The profile of the group lists data science, big data, visualization, business analytics, predictive modeling, data mining, web analytics, six sigma, econometrics, business intelligence, computational finance, quant, operations research, machine learning, data analysis, data warehousing, risk management, cloud computing, text mining and BI as topics of interest.
2) Data Mining, Statistics, Big Data, and Data Visualization
This is a smaller professional group, with just over 36,000 members. They describe this group as being “for data mining and statistical professionals who wish to expand our network of people and share ideas. Methodological issues are fair game, as well as discussion of software (SAS, R, WEKA, etc), technology (Hadoop, relational databases, etc) conferences, and job postings.”
3) Pattern Recognition, Data Mining, Machine Intelligence and Learning
Another smaller group of nearly 15,000 professionals, this one is “intended for all those interested in the areas of Pattern Recognition, Data Mining, Machine Intelligence and Learning.”
4) KDnuggets Analytics, Data Mining, and Data Science
This group has a twist—it’s one of many spinoffs of the KDnuggets network, which includes a website, a newsletter, Twitter and Facebook accounts and more—and is for Analytics, Data Mining, and Data Science Professionals and Researchers who are interested in solving real-world problems.
5) Data Science Central
Created fairly recently, in 2012, this group is a branch of the Data Science Central website, which bills itself as the industry’s online resource for big data practitioners. They describe their approach as “From Analytics to Data Integration to Visualization, [our] approach is to provide a community experience that includes a robust editorial platform, social interaction, forum-based technical support, the latest in technology, tools and trends –and industry job opportunities.”
6) Advanced Analytics, Predictive Modeling, & Statistical Analyses Professional Group
The 6,600+ members of this group describe themselves as “technology professionals with a common foundation of advanced quantitative education and experience in areas of advanced analytics, statistical modeling, data mining and quantitative analyses. Network, collaborate, and find career opportunities.”
Another great way to further your data science career through LinkedIn is to connect with Smith Hanley. We keep our page up to date with industry articles, relevant blog posts and of course job postings. We look forward to connecting with you!
