Data Analyst | Data Scientist Position

3 days ago

Dombivli, Maharashtra, India beBeeDataScientist Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
Advanced Analytics Professional

We are seeking a highly motivated professional to support our advanced analytics initiatives across the organization.

This role will involve managing end-to-end analytics projects including data wrangling, model development, validation, and deployment.

Candidates should have experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch, and proficiency in Python, R, or SQL. Familiarity with cheminformatics or bioinformatics tools is a plus.

  • Key Responsibilities:
    • Manage end-to-end analytics projects including data wrangling, model development, validation, and deployment.
    • Collaborate with scientific and operational teams to identify opportunities for data science applications in drug discovery, development, and manufacturing.
    • Interact with domain experts and clients to understand data, business challenges and implement robust, scalable solutions.
    • Design and implement machine learning models, statistical analyses, and data visualizations to solve real-world problems.

Qualifications:

  • Education: MS/MTech in Mathematics, Statistics, Computer Science.
  • Experience: 3+ years in data science or advanced analytics.
  • Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
  • Expertise in the use of Python for machine learning and complex data analysis.
  • Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits:

  • Be part of a growing digital transformation journey in a science-driven organization.
  • Work on impactful projects across accelerate drug discovery and development.
  • Collaborate with world-class scientists and technologists.
  • Enjoy a culture of innovation, learning, and continuous improvement.

Preferred Skills & Expertise:

  • Sound knowledge of statistical, machine learning algorithms and applications.
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Understanding of regulatory requirements in pharma (e.g., GxP, 21 CFR Part 11).
  • Knowledge of FAIR data principles and data governance in scientific environments.

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