Advanced Analytical Position

1 week ago


Bengaluru, Karnataka, India beBeeDataScientist Full time US$ 1,20,000 - US$ 1,90,000
Key Data Scientist Position

We seek a skilled and analytical Data Scientist to collaborate with cross-functional teams and drive our research, development, and commercial objectives forward. This role involves analyzing complex biological data, developing advanced models, and delivering actionable insights.

Key Responsibilities:
  • Develop robust statistical models, machine learning algorithms, and analytical pipelines to drive business outcomes.
  • Partner with internal teams to define project goals, data needs, and analytical approaches that align with our strategic objectives.
  • Apply data mining and predictive modeling techniques to identify patterns, trends, and correlations in diverse datasets.
  • Evaluate and validate model performance, ensuring reproducibility, scalability, and reliability of analytical solutions.
  • Deploy analytical tools and integrate models into production-grade software platforms for internal and customer-facing applications.

The ideal candidate will have a strong foundation in statistics, probability, and experimental design, as well as expertise in supervised and unsupervised machine learning techniques. They must be comfortable working in a regulated environment and managing code within these constraints.

Required Skills and Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.
  • Proven experience working with large and complex datasets, with a strong background in data wrangling, statistical analysis, and machine learning.
  • Demonstrated proficiency in at least one major programming language used for data analysis.
  • Experience with cloud computing platforms and modern data warehousing solutions.
  • Familiarity with enterprise data management / data processing tools and version control systems.
  • Excellent communication skills, including the ability to translate technical findings into actionable recommendations.

Preferred qualifications include a Master's degree or Ph.D. in a relevant field, hands-on experience with genomic data analysis, and a history of contributing to open-source projects or publications in scientific journals.



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