Data Scientist

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