Analytics Engineer Iii

Bristor Myers Squibb

Hybrid (50% onsite)
Mlops and git for data science
Databricks and aws proficiency
Python or r for data manipulation
Bristol Myers Squibb is seeking an Analytics Engineer III to leverage advanced data engineering and machine learning techniques, focusing on improving business performance within the biopharma industry. The role involves collaboration with cross-functional teams to extract insights from complex data sets and drive innovation

Job Summary

  • Focus on applying advanced data engineering, machine learning and MLOps techniques to extract insights from complex data sets and drive data-driven decision-making processes.
  • Collaborate with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps.
  • Gather, pre-process and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data.

Matching Summary

Match Score: 85

Bristol Myers Squibb is seeking an Analytics Engineer III to leverage advanced data engineering and machine learning techniques, focusing on improving business performance within the biopharma industry. The role involves collaboration with cross-functional teams to extract insights from complex data sets and drive innovation.

Skills & Requirements

Must-have

  • MLOps and Git for data science
  • Databricks and AWS proficiency
  • Python or R for data manipulation
  • Cloud platforms and big data technologies
  • Experimental design and hypothesis testing

Nice-to-have

  • Biopharma industry knowledge
  • Healthcare data analysis experience
  • Tableau, Power BI, matplotlib/seaborn
  • Critical and creative problem-solving

Key Requirements

  • Master's or Ph.D. in Data Engineering, Statistics, Computer Science
  • 5+ years in a data engineer role
  • Experience with healthcare data or clinical trials
  • Experience with SQL, NoSQL technologies

Work Rights

Not specified

Tailored Resume

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