Data Scientist

REF65O

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 Retail and Healthcare industries.

What will you do:

  • Furnish quantitative research and predictive models needed
  • Work closely with Domain Experts, Data Engineers and other Quantitative Researchers:
    • Solving framing research problems
    • Developing software for accelerating model development
    • Building quantitative models
    • Supporting platform engineering

Technologies

Must have:

  • Python/R (modelling)
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)

Qualifications

What will you need:

  • 5+ years of data science or software engineering experience
  • Graduate degree (Ph.D preferred) in a quantitative or analytical field with material exposure to coding
  • Competency in artificial intelligence or machine learning techniques
  • Competency in a general-purpose programming language
  • Fluent English
  • Hungarian (native)

and:

  • 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

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