36 karma · joined January 28, 2012
Remote: Yes (experienced) / Fly over when needed
Willing to relocate: No
Technologies: Node / Typescript / AngularJS / Angular / React GraphQL (not professionally) / Redux / Ruby / Rails / UI frameworks / DB (exp with mongodb, postgres, mysql, hbase, redis, solr) / Salesforce / MS Dynamics. Also FE tech lead, experience coaching a team remotely.
Résumé/CV: https://www.dropbox.com/s/ysucp2qpe6iaewh/Vincent_Peres_-_Re...
Email: vincent.peres@gmail.com
Remote: YES (or partly remote if within 1h)
Willing to relocate: No
Technologies: Angular / Typescript / Ruby on Rails (more details on my profile below)
Résumé/CV: Front end Tech Lead / Full stack developer https://www.linkedin.com/in/vincentperes/ https://github.com/vincentp
Email: vincent.peres (gmail)
I'm a reliable developer with more than 10 years of experience working with web apps. Used to work with international teams. 2 years remotely. I like to be involved from product planning to support to understand what users want and get as much feedback as possible. Don't hesitate to drop me an email :)
As a Data Scientist you will work with TBs of structured and unstructured data and apply state of the art Machine Learning and Data Mining techniques on it. You will have the central position in the dev team since all Companybook's products depend on massive amounts data. You will be involved in all phases of the development: from the analysis and design to the implementation. As a Data Scientist you will have the ability to shape the future all our business by adding intelligence to all our data products.
Responsibilities:
- Advise the dev team on all aspects of Machine Learning and Data Mining - Select the most appropriate ML tools and techniques for solving particular data challenges - Transform and convert unstructured data set into structured data products - Train and build machine learning models to meet business goals - Collect, process, cleanse, and merge raw data from a wide variety of structured and unstructured sources.
Skills & experience
Required:
- MS (PhD) in Computer Science, Machine Learning or Statistics - Strong theoretical background and practical experience in machine learning and information retrieval - Strong working knowledge of all core ML techniques: clustering, regression, classification,.. - Excellent written and verbal communication skills.
Desirable:
- Search Ranking - Java/Hadoop/MapReduce
Contact: jobs@companybook.no
In general I think that experiences in life are so different and all require a different set that you simply can't aggregate them all on one and unique website. "The next network could be about making it easy to talk to people you don't know so well." is just called the web?
But isn't it also the same problem in the US? Some states have very low taxes on business profits. So you can see very often companies having offices over there?