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Data Scientist

  • Location: Aberdeen
  • Job type: Permanent
  • Sector: IT / Helpdesk Support, IT Manager / Engineer / Designer
  • Date posted: 07/09/2018
  • Job reference: VR/43925
This vacancy has now expired.
Our client now have a immediate requirement for a data scientist to join their team on a staff basis. This is a staff role based in Aberdeen, candidates with experience from within the UK oil and gas industry are preferred.

Partner with global operational teams and platform owners to help build a global data lake
Lead masterdata cleansing and improvement efforts; including automated and cost-effective solutions for processing, cleansing, and verifying the integrity of data used for analysis
Leverage agile methods to rapidly develop and iterate impactful operational analytics in PowerBI
Partner with global operational teams to support cultural shift of a metrics-based culture
Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimise joint development efforts through appropriate database use and project design Pioneer OT and edge analytical capabilities on our remote oil field assets Enhancing data collection procedures to include information that is relevant for building analytic systems
Partner with operational leaders and our customers to deliver value-added analytics tools which can be monetised or used to augment commercial offerings

Advanced studies in Data science, Computer Science, Statistics, Applied Maths or related field
Solid (5+ years) practical experience with SAS, ETL, SQL, data processing, database programming, NoSQL databases, such as MongoDB, Cassandra, HBase or data analytics Experience with programming languages such as Java/Python an asset
Strong project management skills and the ability to balance multiple priorities without losing momentum

Extensive background in data mining and statistical analysis
Able to understand various data structures and common methods in data transformation Excellent pattern recognition and predictive modelling skills
Experience building and maintaining data lakes: including ETL skills in Talend / Informatica or related middleware
Strong focus on delivering outcomes our customers
Demonstrable skills in business partnership and influencing skills
Experience building or administering a global data lake
Defining, implementing, and maintaining a global data strategy
Experience building robust and impactful data visualisation solutions and gaining adoption
Data management: modelling, normalisation, cleaning, and maintenance
Experience with ETL tools
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