Datascience Consultant

**Mission**:

- Actively participates in the technical and functional analysis of the client's needs, expectations and the functioning of the existing system in order to draft the functional and technical specifications of the chosen solution, actively participates in client workshops.
- Participates in the general and detailed technical design of the target solution
- Participates in the audit of the quality of client data
- Writes or supervises and adapts extraction notes (extraction of customer data for analysis)
- Writes or supervises data analysis reports
- Writes or corrects client interview reports
- Participates in the integration process of the various elements of the solution according to the established specifications
- Implements methods (in particular CRISP: Cross Reference Industry Standard Process for Data Science)
- Supervise and participate in the integration of data in the Data Hub
- Supervises and implements technical and integration tests in order to qualify and correct anomalies
- Participate in the installation of the solution and the training of the users and follow up with the client throughout the engagement
- Actively participates in the drafting of user documents and monitoring of achievements
- Carry out the unit progress monitoring including the estimation of its remaining production and communicate it to his manager allowing him to have the necessary visibility in order to alert in case of delays or other dysfunctions
- Carry out the programming of the algorithms using different languages and Data Science tools
- Participates in the interpretation of results and the presentation of these results to clients
- Proactively proposes solutions to problems encountered, whether technical, methodological or concerning the data

**Profil**

Diploma: Bac+5 level in Business Intelligence, Statistics, Machine Learning, Data Science, Data Mining, Master 2 in Statistics, Machine Learning, Data Science or Artificial Intelligence.
- Equivalent Mooc certifications (Coursera, Edx, Udacity, Udemy) possible.
- Very strong foundation in statistics required
- Perfect knowledge of at least one language such as Python, R or Scala
- Knowledge of DataScience libraries on Python (e.g. Scikit learn, panda) R (e.g. factominer, ggplot2), Spark (Mllib)
- Knowledge of Hadoop and Spark architectures is an important plus
- Able to work with both supervised and unsupervised methods

Experience: 2 years as a Data Engineer or Junior Data Scientist on at least 2 different assignments

Fluency French & English

**Job Types**: Full-time, Permanent