Senior Business Analytics Specialist

5 days ago

Amrāvati, Maharashtra, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 20,00,000
Key Data Scientist Role:

We are seeking a highly motivated and skilled data scientist to support our organization's advanced analytics initiatives.

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, sensors, and other scientific instruments, as well as enterprise applications (CRM, ERP, etc.).
  • Build and maintain data pipelines and dashboards for real-time monitoring and reporting.
  • Implement AI workflows to enhance decision-making processes.

Qualifications:

  • Education: Master of Science 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.
Benefits:
  • Opportunity to apply data science expertise in a dynamic organization.
  • Collaborative and supportive work environment.
  • Promotion of professional growth and development.
  • Competitive compensation package.

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