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”.