Chaire Réseaux Sociaux

Job offer : Data-mining Engineer

Key Infos

Organisation: Institut Mines-Télécom
Location: Evry, Ile De France, France
Industries: Social media / Internet / Marketing
Position type: Full Time CDD (18 months)
Salary: To negotiate according to experience
Contact: yingmin.li@telecom-em.eu & christine.balague@telecom-em.eu

Post description

The Mines Telecom Institute-TEM is launching a 3-year big data project SODATECH, which applies the marketing quantitative methodologies on social network analysis. The project gathers industrial and research expertise to create a social knowledge based Business intelligence platform.

SODATECH is recruiting data mining developer(s).

Core Responsibilities

In brief :

  • Collection of requirements formalization and risk assessment and load
  • Development of analysis dashboard

Conducting studies / development R/Python/JavaScript :

  • Support for data mining projects and modeling (segmentation, scoring, ROI, algorithms)
  • Application and dashboard developments in R / Python / JavaScript for automated analytical purposes

Analysis of results :

  • Validation of the consistency of results
  • • Interpretation of results
  • • Synthesis and visualization of key points

Technique and Methodology: :

  • • Identify areas for optimization of our methodologies
  • • Optimize the performance of treatments and analytical applications R / Python / JavaScript

Skills required

  • • Acknowledge of main methods of statistical analysis (Factor Analysis, Typologies, decision trees) and modeling (logistic regression, time series, non linear models, etc.)
  • • Proven experience in semantic analysis and classification
  • • Proven experience in SQL (MySQL, or NoSQL), Python, JavaScript and R language.
  • • Proven experience in Data mining software
  • •Acknowledge of following domains will be a plus: text mining, web mining, Hadoop/PIG/HIVE, SPARK, and STORM; commercial data mining software( IBM SPSS Modeler, SAS, and/or Matlab)

Education background

Master of statistics, artificial intelligence, and/or computer science, engineer school (ENSAE,IMA etc.)

Skills required

  • • Rigorous, pragmatic and independent.
  • • Sense of service and customer relations.
  • • Real analysis and synthesis capabilities.
  • • Very good relationship and editorial capability.
  • •Acknowledge of following domains will be a plus: text mining, web mining, Hadoop/PIG/HIVE, SPARK, and STORM; commercial data mining software( IBM SPSS Modeler, SAS, and/or Matlab)

Intérested?

Send us your CV, with the reference “RS-DM”.

Author: florian

Chercheur | Chaire Réseaux Sociaux

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