Chief Data Strategist

3 days ago

Rajahmundry, Andhra Pradesh, India beBeeAnalytics Full time ₹ 13,68,000 - ₹ 25,40,200
Senior Analytics Professional

We are seeking a highly motivated Senior Analytics Professional to support advanced analytics initiatives across the organization.

  • Manage end-to-end analytics projects including data wrangling, model development, validation, and deployment.
  • Collaborate with scientific and operational teams to identify opportunities for analytics applications in drug discovery, development, and manufacturing.
  • Interact with domain experts and clients to understand data, business challenges and implement robust, scalable solutions.
Key Responsibilities:
  • Design and implement predictive 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
Qualifications:
  • Education: MS/MTech in Mathematics, Statistics, Computer Science.
  • Experience: 3+ years in analytics 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

Join our team and be part of a growing digital transformation journey in a science-driven organization. Work on impactful projects across accelerate drug discovery and development, and enjoy a culture of innovation, learning, and continuous improvement.

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