Data Scientist

**Job Description**:
The Data Scientist is responsible for developing, structuring and animating data activities (prescriptive and/or predictive analysis) enabling to make business recommendations. Those recommendations aim at guiding/challenging strategical and tactical marketing decisions (ex: customer segmentation, optimal level of investment per channel, prediction of customer engagement based on historical data)

This role requires knowledge of data, programming, statistics, to collect, to interpret significant data tables from different sources to anticipate business needs, also collaborates with the Agile Developer and the Reporting Programmer in order to facilitate data integration/leveraging/ visualization within Agile Marketing.

**Main activities**:
**Analyze data and advise (60 %)**:

- Within agile marketing, identifying business needs to which he can provide solutions using data.
- Identifies the relevant data sources in the existing bases but also outside (Open)
- Structures and prepares data by ensuring its reliability and integrity
- Realizes advanced descriptive analysis (eg: description of customer pathway)
- Reports and communicates analysis in a clear and simple way
- Transforms his analysis into business recommendations / marketing actions
- Advises the marketing team on the technical design of campaigns,

**Coordination of data activities (30%)**
- Within agile marketing, ensures the coordination of integration/structuration/visualization data analysis activities
- Ensures the progress of Data activities within the agile team and provides regular feedback to the Data Department Manager
- Actively contributes to the Data Community and sharing of good practices

**Sensitize and educate about data (10%)**
- Updates knowledge and skills regularly, and keeps track of technological trends in his field of activity
- educative / awareness role for marketing on predictive and prescriptive approaches
- Promotes the sharing of knowledge and good practices

**_ Skills and experiences required _**

**Training - 5 years in higher education **in a quantitative field, like statistics, IT, engineering, mathematics or other related field (eg: ENSAE, DAC (data apprenticeship knowledge), MIAGE (Business intelligence), TSI (statistical treatment of information), D&K (data and knowledge)..)

**Experience** - from 3 to 5 years in an analyst position ideally in pharmaceuticals or medical and life sciences, digital marketing or in Consumer Centric business, environments that mix different levers of marketing action (eg: Mass distribution, Distribution, Luxury ).

Experience working with large data sets, relational databases (SQL) and continuous systems (Hadoop, Hive)

Experience in data visualization (Tableau, Spotfire, TIBCO, R Shiny or other Python Libraries)

Experience in online, mobile and social data would be a plus

Demonstrated curiosity for issues of access to digital data (technical aspect, as well as an appetence for understanding and exploring data architecture in relation to business and IT)

**Technical Knowledge**:
Knowledge of typical pharmaceutical data sources (physician prescriptions, institutional commercial data, patient data, etc.) and the modeling of promotional responses

Knowledge of R, Python and/or SAS essential; knowledge of other statistical packages (SAS, PSPSS, RapidMiner, etc.) would be helpful.

Advanced knowledge of statistical techniques, data mining and machine learning

A solid understanding of Web 2.0 technologies (Ajax, JavaScript, XML / JSON, Big Query, GA API) would be a plus

Communication

Leadership

Customer Orientation / business orientation

Change management

Project management

Flexibility

**Search Firm Representatives Please Read Carefully**

**Employee Status**:
Regular

**Relocation**:
No relocation

**VISA Sponsorship**:
**Travel Requirements**:
**Flexible Work Arrangements**:
**Shift**:
**Valid Driving License**:
**Hazardous Material(s)**:
**Number of Openings**:
1
**Requisition ID**:R211014