Data Scientist

Newyorkbioconnect

Competitive salary; bonus plan subject to compyny ...
**
Advanced statistical methodologies
Modern data science techniques
R or python proficiency
** Newyorkbioconnect is seeking a Data Scientist to join its S&T Data Science & Biostatistics team, which focuses on data-informed decision-making in Global Animal Health Manufacturing. The role involves applying advanced statistical methods to solve complex challenges in pharmaceutical manufacturing, and the company offers a supportive and dynamic work environment with numerous opportunities for personal development. **

Job Summary

  • The S&T Data Science & Biostatistics team enables data-informed decision-making across Global Animal Health Manufacturing by combining advanced statistical methodologies, modern data science techniques, and deep domain expertise.
  • Key responsibilities include leading end-to-end data science projects, performing data quality assessments, developing reproducible code, automating tasks, and communicating complex results to diverse audiences.
  • The company offers a truly global, dynamic, and challenging environment with great opportunities for personal development, competitive salary, 35.5 days of leave, attractive healthcare insurance, and a solid pension plan.

Matching Summary

Match Score: 75

** Newyorkbioconnect is seeking a Data Scientist to join its S&T Data Science & Biostatistics team, which focuses on data-informed decision-making in Global Animal Health Manufacturing. The role involves applying advanced statistical methods to solve complex challenges in pharmaceutical manufacturing, and the company offers a supportive and dynamic work environment with numerous opportunities for personal development. **

Salary

Competitive salary; Bonus plan subject to company annual results; Attractive collective health care insurance package

Skills & Requirements

Must-have

  • Advanced statistical methodologies
  • Modern data science techniques
  • R or Python proficiency
  • Git collaborative tools
  • DOE, SPC, GLMs, multivariate analysis
  • Predictive modeling, machine learning

Nice-to-have

  • International environment
  • Personal development opportunities
  • Innovation-driven team
  • Continuous learning culture

Key Requirements

  • MSc or higher in Statistics, Mathematics, Computer Science, Physics, Economics, or related field
  • Minimum 2 years' hands-on experience
  • Experience in pharmaceutical or manufacturing environments preferred
  • Ability to work with incomplete or imperfect data
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills

Work Rights

Not specified

Tailored Resume

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