Data Scientist / Data Engineer Remote

Might be available

(Updated 2020-01-14)

Data Scientist / Data Engineer

Remote

Beginner French, English, Portuguese

  • Data Science
  • Google Cloud Platform
  • Python

Skills (18)

DATA ANALYTICS

SHINY

Git

GCP

Python

STATISTICS

DATA SCIENCE

PIPELINE

Docker

Algorithm

SQL

SAS

SALES CHANNELS

PRICING

MARKETING ANALYSIS

Strategic planning

TEACHING

OPTIMIZATION

Professional Experience

Senior data scientist/data engineer
Artefact

2018-05 - 2019-11

Improve the existing data pipeline of a dashboard on Google Cloud Platform for more robustness,
scalability and cost-efficiency (python, Google Cloud Platform)
- Develop an infrastructure for automated deployment of data science models
(python, Google Cloud Platform)
- Use Google's machine learning APIs to automatically index content in videos
(python, Google Cloud Platform, Kubernetes)
- Predict the shopping basket of regular supermarket consumers (python, Spark, Airflow, GCP)
- Determine if there is a problem that requires intervention on the telephone line of telecom
customers (HiveQL, R, Tableau)
- Associate a newspaper archive with a news article, thanks to topic modelling (python, sklearn, docker, kubernetes)
Data scientist consultant, customer data analytics & revenue management department, Eurodecision

2016-04 - 2018-01

April - Develop an automated revenue management algorithm in a rail transportation environment (language R, presentation with shinydashboard, css)
- Predict the volume of packages leaving several warehouses day by day (R and Shiny flexdashboard)
- Statistical modelling to estimate clinical study workloads in pharmaceutical industry
(R and shinydashboard/css)
- Determine the optimal sales channels mix in a revenue management context (R, QlikView)
Data scientist intern, pricing & strategic planning team
Disneyland Paris

2015-06 - 2015-08

- Subject: Isolate the impact of economic context on Disneyland Paris performances
(3 months) - Implement linear regressions and present results to non-initiated teams
TEACHING
2018 - today Tutorial classes: classification methods, Ensai, 12h per year
- KNN, decision trees, models' comparison (ROC, LIFT)
- Application on concrete use cases
October 2017 Revenue management and dynamic programming, Ensai, 12h
- Dynamic programming: recursive optimization, backward induction
October 2017 Revenue management, Eurodecision, 6h
- Fundamentals of revenue management, theory and exercises

Academic Background

master degree
national school of statistics and data analysis

2012-09 - 2016-12

Montesquieu Highschool
Montesquieu Highschool

2010-01 - 2012-01

Certifications

TOEIC

Contact contractor

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