Data Scientist

New
C
ClarasightCorporate Travel AI
Remote; Secondary Locations: Boston, Lisbon, New York CityFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
PythonETLJavascriptMachine LearningTableauRESTful APIsData visualizationR

Requirements

  • Experience in data science with a focus on finance, economics, travel spend analytics, or corporate cost management.
  • Expertise in data integration including ETL pipelines, API connections, and harmonizing data across multiple systems and formats.
  • Proficiency in Python, R, or JavaScript for data analysis and tool development.
  • Familiarity with building and testing product prototypes in an iterative environment.
  • Strong knowledge of corporate finance principles, cost optimization strategies, and economic modeling.
  • Experience developing data-driven tools and applications that enable stakeholders to make informed financial decisions.
  • Ability to communicate complex concepts to non-expert audiences effectively.

Responsibilities

  • Design and develop product prototypes based on financial and travel spend analysis and client data.
  • Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers.
  • Iterate on prototypes based on customer feedback to refine and improve usability.
  • Work with engineering teams to operationalize data science workflows, ensuring scalability and long-term viability of prototypes.
  • Lead data integration efforts across diverse sources and formats, ensuring clean, reliable, and unified datasets that power analytics and product features.
  • Leverage customer datasets to identify trends, generate insights, and create impactful solutions.
  • Collaborate with advisory and forecasting specialists to integrate insights into product design.
  • Explore and implement advanced techniques like machine learning, use of large language models for preliminary analyses, or optimization.
  • Create dynamic visualizations and dashboards to provide clients with actionable financial insights in an intuitive format.
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