Advanced Analytics Professional

16 hours ago


Mount Abu, Rajasthan, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Job Opportunity

We are seeking a highly motivated Data Scientist to support advanced analytics initiatives across the organization.

This role involves managing end-to-end analytics projects, collaborating with scientific and operational teams, interacting with domain experts and clients, designing and implementing machine learning models, statistical analyses, and data visualizations to solve real-world problems.

The ideal candidate will have experience in Python, R, SQL, and data visualization tools, as well as proficiency in machine learning frameworks. Familiarity with cheminformatics or bioinformatics tools is a plus.

This position offers opportunities for professional growth and development in a fast-paced, collaborative environment.

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.
  • Develop predictive models for reaction outcomes, process optimization, and quality control.
  • Work with structured and unstructured data from lab equipment's, sensors, and other scientific instruments. And also, from enterprise applications (CRM, ERP, etc.).
  • Build and maintain data pipelines and dashboards for real-time monitoring and reporting.
  • Implement AI workflows for enhancing decision-making processes.
Required Skills & 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).
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Familiarity with cheminformatics or bioinformatics tools (e.g., RDKit, KNIME) is a plus.
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Preferred Skills & Expertise
  • Sound knowledge of statistical, machine learning algorithms, and applications.
  • Expertise in the use of Python for machine learning and complex data analysis.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Knowledge of FAIR data principles and data governance in scientific environments.
  • Exposure to digital lab tools like ELN, LIMS, or CDS.
  • Understanding of regulatory requirements in pharma (e.g., GxP, 21 CFR Part 11).
  • Knowledge of Computer Vision and Gen AI approaches.
  • Excellent storytelling and presentation skills.
  • Ability to work in a dynamic multidisciplinary environment.
About Us

We are a forward-thinking organization dedicated to harnessing the power of data science to drive innovation and excellence.



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