Data Scout

W0DSCO01

department
Information Technology
level required
Mid-Senior Level
job timing
Full-time

Job Description

Your mission:

Support one or more of Prediction Products with exploring and evaluating new public and commercial data sources to enable to continously improve predictions. In this role, you will primarily be using your knowledge of data, investigative skills, and relevant data management tools.

You will be responsible for:

  • Researching new public and third-party commercial data sources
  • Establishing and improving data sourcing pipelines
  • Managing Data Vendors & Data Brokers 
  • Analyzing potential data sources & vendors
  • Building and maintaining the Data Catalog for a detailed overview for Data Scientists and Product Delivery Principals (about available datasets)
  • Driving data ingestion with Data Engineers & Data Analysts

Qualifications

Our requirements: 

  • 2+ years of experience in data analytics related functions
  • Strong, hands-on experience in data wragling (Excel/SQL/Python). Python is the shared language, so experience with this is a big advantage
  • Prior experience in working with Data Analysts & Data Scientists
  • Knowledge of basic concepts and approaches in Machine Learning
  • Good communication skills, comfort in leading discussions with technical and business team members
  • Detail-oriented, ability to multitask and work in a fast-paced environment
  • Ability to work independently while also being a strong team player

Advantage:

  • Hand on experience with notebooks (e.g. zeppelin, jupyter)
  • Knowledge of BI tools (e.g. Spotfire, Qlik, Tableau, Power BI)
  • Experience in the following industries: Healthcare, Retail, Fast Moving Consumer Goods, Financial Services

Additional Information

What do we offer?

  • The chance to solve the most pressing challenges on a global scale
  • Professional development: books, online training
  • Opportunity to attend or speak on conferences
  • Opportunity to travel 
  • Flexible working hours
  • Home office opportunity
  • Healthcare benefit package
  • Eye-glasses allowance
  • Excellent salary and compensation package
  • You can choose your working tools (Mac or Windows)
  • Relocation allowance

Place of work: Budapest