Data Science Developer – Part time

Are you interested in coding and development of data science products? We are looking for students with some experience with programming and/or scripting in R/Python and interest in data science to support development of tools for advanced analytics in pharmaceutical industry.

In the Data Scientist Developer role you will be supporting the data science team (and optionally SW development teams) in delivery of various products with advanced analytics capabilities. The products can be related to forecasting, optimization, simulation, regression, classification and other areas and you will also support the data preparation, code testing, database connectivity, deployment and other components of industrialization.

Primary job responsibilities include:

  • Understanding the data science problem and the product being delivered as a solution
  • Analysis and understanding of the existing code base (if any) in R or Python
  • Developing and/or improving the 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 packages and libraries
  • Possible collaboration on a front-end tool development, for instance in R/shiny
  • Possible collaboration on a database architecture, data model and ETL processes
  • Participating in the product industrialization – deployment of the application, database connections and setting up a REST API to call models
  • Staying up to date with the most recent development in R or Python 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 at least basic R or Python language required, advanced knowledge of R, R/shiny or Python is a major advantage
  • SQL knowledge is a plus
  • 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

Besides a great atmosphere and flexible working environment, we also offer:

  • Competitive remuneration
  • Position in a world leading global company
  • Possibility of challenging career
  • Innovative working environment

 

Contact: eliska.sediva@merck.com

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