Description

You will apply statistical and machine learning techniques to solve complex problems using structured and unstructured data.

This role is on-site.

Responsibilities

• Develop and deploy statistical applets and predictive models using Python, R, and SQL.
• Perform text mining and analysis on large, complex datasets to drive strategic business decisions.
• Formulate hypotheses, test conclusions, and present complex statistical concepts to non-analytical stakeholders using Excel, Word, and PowerPoint.
• Execute quality assurance activities and develop test cases for data models in Linux and AWS cloud environments.

Required Skills

• 5+ years of experience in data science, machine learning, or related analytical roles.
• Proficiency in Python, R, and SQL for data manipulation and modeling.
• Strong knowledge of descriptive and inferential statistics models.
• Hands-on experience with text mining and processing large-scale datasets.
• Familiarity with Linux, AWS, cloud computing, and high-performance computing environments.
• Proficiency with data visualization tools such as Spotfire or Tableau.
• B.Tech degree in a relevant field.
• Experience with C, C++, or other object-oriented programming languages.

Preferred Skills

• Prior experience in pharmaceutical research and development.
• Coursework in chemistry, biology, or engineering.

Key Skills

Education

BTECH