Data Scientist

W0DS2

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

Job Description

If you are experienced in solving real-life challenge using data driven approaches and are ready to learn, apply emerging technologies and methodologies, we have a GREAT new career opportunity for you! 

Let’s dig into details!

As a Data Scientist you will furnish quantitative research and predictive models needed by clients relating to the Healthcare and Retail industries.

What will you do:

  • Support one or more of Prediction Products using data manpulation (Python/SQL/R), model building, feature extraction
  • You will be responsible for robust and effective prediction models, based on ML algorithms and statistics
  • Framing prediction problems, building and maintaining machine learning models
  • Producing & delivering valuable insights to clients
  • Researching and evaluationing of new methods, models, data sources
  • Maintain and test quantitative models
  • Collaborating to development of data science and data analytics pipelines

Qualifications

What will you need:

  • Minimum 3 years experience in data science 
  • Graduate degree (Ph.D preferred) in a quantitative or analytical field
  • Competency in artificial intelligence, mathematical modeling, statistics
  • Hands-on experience with implementation of machine learning algorithms in Python/R
  • Fluent English
  • Native in Hungarian
  • Strong quantitative, analytical skills
  • Good communication skills
  • Detail-oriented, ability to multitask and work in a fast-paced environment
  • Ability to work independently while also being a strong team player

Advantage:

  • Experience in the following industries: Healthcare, Retail, Fast Moving Consumer Goods, Telecom
  • Experience in a client-facing data science project

Technologies

Must have:

  • Strong, hands-on experience in data wragling (SQL/Python/R). Python is the shared language, so experience with this is a big advantage

Advantage:

  • AWS ecosystem (Fargate, S3, SQS, SNS, Lamba, RDS)
  • Docker (containers)
  • Spark/Apache Drill/Athena and similar
  • CircleCI (Continuous Integration)
  • Log and APM tools
  • MongoDB and Redis (NoSQL)
  • PostgreSQL
  • Tableau/PowerBI (Data Visualization)

Additional Information

What can 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 for 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