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Data Scientist

Remote / Online - Candidates ideally in
3090, Rotterdam, South Holland, Netherlands
Listing for: ROM Utrecht Region
Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 60000 - 90000 EUR Yearly EUR 60000.00 90000.00 YEAR
Job Description & How to Apply Below

PocketCFO
· Utrecht, Netherlands;
Rotterdam, Netherlands

About us

PocketCFO is active in providing a cutting-edge platform designed to simplify financial management for small businesses. Our mission is to empower entrepreneurs with easy-to-use tools that help them make informed financial decisions, streamline their operations, and grow their businesses. With a focus on user experience and powerful analytics, PocketCFO is set to become an essential part of every entrepreneur's toolkit.

As a data scientist, you will play a crucial role in analyzing and interpreting complex datasets to help PocketCFO make data-driven decisions. You will develop and implement predictive models and machine learning algorithms, collaborating with product and engineering teams to integrate data insights into the PocketCFO platform, ensuring data integrity and quality while creating visualizations and reports to communicate findings effectively.

  • Analyze and interpret complex datasets to help PocketCFO make data-driven decisions
  • Develop and implement predictive models and machine learning algorithms
  • Collaborate with the product and engineering teams to integrate data insights into the PocketCFO platform
  • Identify and address data quality issues and ensure data integrity
  • Create data visualizations and reports to communicate findings to stakeholders
  • Stay up-to-date with the latest data science trends and technologies
  • Proven experience as a Data Scientist or similar role
  • Strong knowledge of statistical analysis and machine learning techniques
  • Experience with Google Vertex data pipelines
  • Experience with data visualization tools (Google Looker is a pre)
  • Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Flexible working hours and remote work options
  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • A dynamic and collaborative work environment
  • The chance to be a part of a new and innovative venture
Skills required for the job

Data analysis Machine learning Predictive modeling Python SQL Data visualization Problem-solving Attention to detail Communication skills Teamwork Time management

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