SENIOR DATA SCIENTIST – DATA PRODUCT (RECOMMENDATIONS AND RELEVANCE)

  • Full Time
  • Orlando
  • Salary Guide: $28,750 - $48,750

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UNIVERSITY OF CENTRAL FLORIDA

As a Senior Data Scientist, you'll join our growing Data Products team and have a chance to make an enormous impact. The vast and diverse set of struc... Role: Data Scientist, Category: Scientific, Size: 1 TO 4

SENIOR DATA SCIENTIST – DATA PRODUCT (RECOMMENDATIONS AND RELEVANCE): UNIVERSITY OF CENTRAL FLORIDA

As a Senior Data Scientist, you’ll join our growing Data Products team and have a chance to make an enormous impact. The vast and diverse set of structured and unstructured data GetYourGuide has collected empowering data products such as search, recommendations, SEM, or incentives.

Position: Senior Data Scientist – Data Product (Recommendations And Relevance)
Location: Orlando
Hours: Full Time
Salary Guide: $28,750 – $48,750
Last Updated: 13 December 2022
Job Category: Scientific

Data Scientist Role:

A Data Scientist, or Data Analyst, analyses raw data and turns it into meaningful information that the company can use to improve it’s business processes. Primary duties include analysing large data sets, creating algorithms that manage and organise information and writing applications that translate data and identify patterns.

Other Duties:

  • Generating large databases from various sources of structured and unstructured data
  • Analysing data and generating statistical information to identify trends and patterns
  • Understanding the phases of product delivery and expert analyses across product life cycles, running the analysis for each stage and contributing to decision making
  • Using a range of programming languages to transform big data into data sets
  • Translating technical data to simple language and giving recommendations and conclusions to stakeholders
  • Developing interactive dashboards that combine visuals with real-time data
  • Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance
  • Working with Technologists to integrate and separate data feeds to map, produce, transform and test new scalable data sets



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