Data Scientist
W0DS2
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