The Economist

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Data Scientist

Data Scientist

ID 
2017-4257
Job Locations 
India-Gurgaon
Function  
Data

More information about this job

Introduction

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The Economist Intelligence Unit is a leading provider of country, industry and management analysis. As the research arm of The Economist Group, we deliver information that helps organisations to stay on top of market opportunities and risks around the world.

 

We are looking for a candidate that has experience gleaning insights from large datasets to drive product improvements and expansion for our Cities practice. The Data Scientist role will help deliver and expand two of the Economist Intelligence Unit's highest-profile city products, requiring the ability to manage data collected across over 1,000 cities. You must possess excellent track record of delivering data infrastructure improvements and product enhancements, along with a detailed experience of crowd sourcing and data mining techniques. You must be skilled in completing projects to deadlines and prioritising time and resources accordingly.

 

You will work within a wider team helping to maintain our economic data and models to contribute to the development of the Economist Intelligence Unit’s data products, specifically related to city level data. 

Accountabilities

In the role you would be expected to:

  • Manage large datasets and databases to help improve and enhance current data infrastructure, products and processes.
  • Mine vast amounts of data for useful insights.
  • Use these insights to influence how the organisation approaches business challenges. Make recommendations to adapt existing business strategies.
  • Use a combined knowledge of computer science and applications, modelling, statistics, and analytics to solve problems. Sift and analyse data from multiple angles, looking for trends that highlight problems or opportunities.
  • Work with stakeholders to identify the business requirements and the expected outcome.
  • Recommend ongoing improvements to methods and algorithms that lead to findings, including new information. Implement enhancements and fixes to systems as needed.

Key partnerships

  • Economics Unit team
  • Digital Data team
  • Consulting teams

Experience, skills and professional attributes

To succeed in this role you must have:

  • At least a Bachelor degree with strong quantitative elements (computer science, mathematics, statistics, engineering, etc) or related field.
  • Minimum of 3 years’ experience manipulating large datasets and using databases, with a general-purpose programming language
  • Prior experience data scraping and managing data which may be disparate, unformated or not uniform
  • Experience in everyday coding, crowd sourcing data and data mining
  • Excellent knowledge of the Microsoft Office suite (particularly advanced use of Excel and Access)
  • Ability to extract data from disparate data sources
  • Previous history of database and SQL management
  • Experience and proficiency in the use of statistical packages such as R and Python for statistical analysis, cluster analysis, data visualisations
  • Proficiency in VBA, SQL
  • Familiarity with statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
  • Knowledge of economic data sources and experience in econometric modelling (desirable)
  • Proven ability to deliver bespoke solutions to high quality and to time using appropriate technologies to add commercial value
  • Ability to deliver projects to deadlines and prioritise time and resources accordingly

 

You will be able to demonstrate:

  • Ability to pay attention to details
  • Ability to be a self starter, motivated and work independently
  • Ability to enjoy an iterative process of development
  • A curious mind
  • Good interpersonal skills
  • Ability to communicate effectively with all levels of the organisation
  • Ability to work well with the team and more broadly outside of it
  • Possession of a good sense of metrics and be metrics driven
  • Ability to see the product from a user's experience point of view