Data Scientist
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Angajator: | FreelancerIT |
Domeniu: |
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Tip job: | full-time |
Nivel job: | 1 - 5 ani experienta |
Orase: |
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Actualizat la: | 19.06.2017 |
Remote work: | On-site |
First and foremost we believe in the people on this site. We believe in those who want to develop and grow, both small companies and IT professionals and we know that we can create something beautiful together. We believe in their dreams, we believe in your dreams and we intend to prove the quality of the Romanian IT industry.
Cerinte
ABOUT THE DATA TEAM
The data team services the needs of internal and external clients. It aggregates, analysis, modifies and validates data, maintains data and builds tools and solutions that allow users to gain intelligence out of this data. The data team is an important safeguard of the quality of data and operates as part of the company ICT team.
The main goals of the data team are:
• Maintenance of and communication on the coverage, research and benchmark universes;
• Servicing of internal and external data requests;
• Provision of custom build tools for data analysis;
• Collection, analysis and preparation of third party data;
• Maintenance, analysis and provision of data;
• Quality assurance of data stored in internal systems;
• Index performance analysis;
• Sales support activities.
POSITION PURPOSE & KEY RESPONSIBILITIES
• The data scientist will support the data team in its daily operations by:
o Working with other teams for setting up data validation rules prior to ingestion in our systems;
o Set-up, monitor and report the changes (logs) for the datapoints stored in internal systems;
o Process ad-hoc data change/maintenance requests;
o Develop and maintain custom tools for data processing and analysis;
o Develop and maintain process documents, data flow diagrams and guidance documents for developed tools and assigned tasks;
o Contributes to projects and product development;
o Contributes to building and maintaining the functionality of the data infrastructure;
o Creates/contributes to building data exchange solutions;
o Contributing to the development of the internal data architecture and data model.
QUALIFICATIONS
• Master degree in mathematics or informatics;
• Strong analytical skills including data QA knowledge/experience;
• Excellent SQL skills;
• Python, R, Spark or Power BI skills;
• Relevant (2Y+) work experience;
• Strong English skills (C2 or above);
• Adaptable, creative, autonomous, solution driven personality and mindset;
• Demonstrated passion for sustainability;
• Good understanding of BIG DATA/HADOOP concepts and infrastructure is considered an asset;
• Good understanding of financial market data and financial instruments is considered an asset;
• Good understanding of corporate fundamental data and company reference data is considered an asset.
WE OFFER
• Competitive compensation package;
• Medical and dental benefits;
• 50% reimbursement of gym subscription;
• Bonus based on your performance;
• Challenging career development options in a very innovative market;
• Dynamic, professional, flexible and friendly work environment with close collaboration with international teams;
• New and modern fitted office in Timisoara or Bucharest
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