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Data Scientist

Job @ Sustainalytics

Sustainalytics is looking for a Data Scientist for it's Bucharest headquarter. 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 Sustainalytics ICT team.

Requirements


  • 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.

Responsibilities


The data scientist will support the data team in its daily operations by:
  • Working with other teams for setting up data validation rules prior to ingestion in our systems;
  • Set-up, monitor and report the changes (logs) for the datapoints stored in internal systems;
  • Process ad-hoc data change/maintenance requests;
  • Develop and maintain custom tools for data processing and analysis;
  • Develop and maintain process documents, data flow diagrams and guidance documents for developed tools and assigned tasks;
  • Contributes to projects and product development;
  • Contributes to building and maintaining the functionality of the data infrastructure;
  • Creates/contributes to building data exchange solutions;
  • Contributing to the development of the internal data architecture and data model.

Projects

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 Sustainalytics ICT team.

The main goals of the data team are:

Technologies


  • SQL- excellent skills
  • Python, R, Spark or Power BI - skills

Schedule

Work schedule is 09:00 AM - 18:00 PM, with 1 hour lunch break;
We can also accommodate flexible working schedules

Report to

Laurentiu Codorean-Onea, Manager Data Team

Sustainalytics

Do you believe that - with the right insights - investors could contribute to a more just and sustainable global economy? Over the last 25 years, we've dedicated ourselves to this mission as a leading provider of environmental, social and governance (ESG) and corporate governance research and ratings.
We are proud to have helped several of the leading global investors implement responsible investment strategies that leverage our research. Through the IRRI survey, they have selected us as one of the top two ESG and corporate governance research firms, since 2014.
Sustainalytics is a global company with over 350 employees in 13 offices that are situated in the US, UK, Japan, France, Canada, Romania, Australia and the Netherlands. For more information, visit www.sustainalytics.com

Office location

Izvor 92-96, 6th floor, Bucharest, Forum III business center

Office environment

Very central area, close to subway station New and modern fitted office in very central area

Salary

Salary will be discussed during the first interview.

Extra benefits


  • Competitive compensation package;
  • Training budget at your disposal for your professional development (certifications, conferences, trainings);
  • Medical and dental benefits;
  • Partial 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;
( no account necessary )

Recruitment steps

Apply by uploading your CV
First interview with the manager of the Data Team and the director of Data Services
Second interview with the VP of Information Technology and the HR Manager
If you will be selected to be part of our team, a formal offer will be extended to you