PRINCIPAL DATA SCIENTIST

  • Full Time
  • Springfield
  • Salary Guide: $22,500 - $56,250


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CTC

Youll write scripts to integrate data, conduct exploratory data analysis to discover hidden patterns, apply machine learning to train predictive model... Role: Data Scientist, Category: Scientific, Size: 1 TO 4

PRINCIPAL DATA SCIENTIST: CTC

Youll write scripts to integrate data, conduct exploratory data analysis to discover hidden patterns, apply machine learning to train predictive models, and use the right combination of tools to turn that set of disparate data points into objective answers to help mission partners make informed decisions. Youll provide the customer with a deep understanding of their data, what it all means, and how they can best use it.

Position: Principal Data Scientist
Location: Springfield
Hours: Full Time
Salary Guide: $22,500 – $56,250
Last Updated: 20 June 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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