Data Scientist Developer – PART TIME

Are you interested in coding and development of data science products? We are looking for a student with some experience with programming and/or scripting in R and interest in data science to support development of a tool for advanced forecasting in pharmaceutical industry.

In the Data science developer / R programmer role you will be part of a small team that is delivering a product to support Animal Health marketing and finance within MSD. You will apply and learn some of the areas mainly related to R programming (functional programming, creating an R package, using tidyverse and shiny packages), partially to time series forecasting and databases (data modeling, ETL, APIs).

Primary job responsibilities include:

  • Understanding the data science problem and the product we are delivering as a solution
  • Analysis and understanding of the existing code base in R scripting language
  • Developing and improving the underlying R functions of the product in the context of a given high-level architecture
  • Writing unit tests and functional tests for existing and new functions
  • Creating an R package with all standard features
  • Collaboration on a front-end tool developed in R/shiny as a reactive web application
  • Possible collaboration on a database architecture, data model and ETL processes for the forecasting tool
  • Participating in the product industrialization – deployment of the application, database connections and setting up a REST API to call R models
  • Staying up to date with the most recent development in R and its packages
  • Working with multiple collaboration DevOps tool such as JIRA, git and Confluence
  • Further responsibilities might be related to core data science including exploratory data analysis, running simple statistical tests and drawing high-level conclusions from the data

Desired Experience and Skills

  • You should be studying IT, Mathematics, Statistics, Economics, or other related field.
  • You should have a passion for programming and interest in data science
  • Experience with functional programming and R language required, advanced knowledge of R and R/shiny is a major advantage
  • Basic knowledge of statistical methods and techniques for analysing data is a plus
  • Strong analytical and logical thinking , focus on results
  • Ability to work both independently and collaboratively within a team
  • Strong communication & collaboration skills with diverse stakeholders


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