Data Scientist II

2 dagen geleden

Amsterdam, Noord-Holland, Nederland LexisNexis Business Information Solutions B.V. Company Voltijd
About the Role

We are seeking a skilled Data Scientist II to join our team at LexisNexis Business Information Solutions B.V. Company. As a Data Scientist, you will play a key role in extracting insights from large, complex datasets using diverse analysis techniques.

Responsibilities
  • Extract knowledge and insights from high volume, high dimensional data
  • Investigate complex business problems through data preparation, modeling, and analysis
  • Utilize statistical analysis, predictive modeling, and pattern recognition techniques
  • Use existing data platforms and tools for data analysis and visualization
  • Develop own scripts and visualizations using object-oriented programming
  • Provide support to senior Data Scientists and lead some analytic efforts
  • Pull data, clean data, and maintain datasets and models
  • Participate in result presentation to internal stakeholders
Requirements
  • Hold at least a bachelor's degree in a relevant field
  • Have a solid background of relevant work experience or a master's degree in a related field
  • Be experienced in NLP and classic machine learning frameworks (pandas, scikit, etc)
  • Possess good SQL skills and practical knowledge of XML
  • Demonstrate a basic understanding of best practices in data science
  • Be able to execute methods for projects with supervision
  • Have practical experience with ERP/CRM systems, relational or NoSQL databases
  • Be capable of utilizing data analysis and visualization software
What We Offer
  • Dutch Share Purchase Plan
  • Annual Profit Share Bonus
  • Comprehensive Pension Plan
  • Home, office or commuting allowance
  • Generous vacation entitlement and option for sabbatical leave
  • Maternity, Paternity, Adoption and Family Care leave
  • Flexible working hours
  • Personal Choice budget
  • Variety of online training courses and career roadshows
  • Wellbeing programs and gym facility in the office
  • Internal communities and networks
  • Various employee discounts
  • Recruitment introduction reward
  • Work from anywhere
  • Employee Assistance Program (global)
  • Annual Event

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