In January 2016 Open Search Network joined forces with Mathesia to develop a new Recruitment Experience in the Advanced Analytics market.
Mathesia is the first crowdsourcing platform dedicated to applied mathematics, where companies and organizations find highly qualified and talented individuals to help them develop new ideas and solve business cases by means of applied mathematics.
Performance enhancement, process optimization, quality improvement, modelling and forecasting, product design, cost reduction and more: Pitchers can post any kind of challenge or innovation idea on Mathesia.
Thanks to the partnership with Open Search Network, a new functionality has been deployed recently: Call For Talent (#C4T).
A Call For Talent is a recruitment business cases created with the scope of hiring permanent staff.
Is it possible to create different recruitment business case, based on the experiences requested:
Companies looking to hire math or data experts will benefit from the support of experts in the evaluation of individuals, in order to meet their needs.
Apply on line on Open Search Network Call 4 Talent roles
Log in on Mathesia and download the dataset and the challenge
Send the solution and be qualified by Open Search Network
Move on with the process and wait for the client feedback
The goal of this challenge is to find the right set of weights for one million US users, in order to make this sample representative of the whole US population. The calibration will be based on some demographic traits (gender, age, race and state) and will use the database provided by the US census, whose relevant tables can be downloaded at http://census.ire.org/data/bulkdata.html.
You can use your favourite programming language, but we highly recommend to use either R or Python.
On February 2017 one new potential client in Financial Services required Bip’s support in the assessment on the risk of default for his credit card users.
The client has already collected and structured the data of about 27.000 of its credit card subscribers, reporting some of their personal information and their aggregate payments history for the last 6 months (July to December 2016). Data has been collected in the train.csv file.
Their request is to support them, by using this data, in discriminating credible subs from non-credible so to enable proactive risk management actions.
By applying and solving our talent scouting project you will automatically become one the top candidates for the positions. Take up our challenge now!
If you are a talented data scientist with good know-how in Network Analysis and Predictive and Statistical analysis; if you have team leading experience and feel ready to advance to a new professional level; if are fluent in Italian and English, good command of the tools such as Excel, Access, SPSS, Stata, R, then you might be the one we are looking for! By applying and solving our talent scouting project you will automatically become one the top candidates for the positions. Take up our challenge now!