Senior Quantitative Analyst

4 days ago

Thiruvananthapuram, Kerala, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Advanced Data Analytics Professional

The role of Advanced Data Analytics Professional involves the application of advanced machine learning and statistical techniques to drive strategic business decisions.

This position requires a PhD in Computer Science, Statistics, Mathematics, Data Science, or a related field. The ideal candidate will have a strong background in mathematics, probability, linear algebra, and optimization.

  • Key Responsibilities:
  • Design and develop advanced machine learning and statistical models to solve complex business challenges.
  • Conduct in-depth research and experimentation to innovate and improve data science methodologies.
  • Collect, clean, and analyze large, structured and unstructured datasets to extract actionable insights.
  • Collaborate with cross-functional teams (Engineering, Product, Business) to integrate models into production systems.
  • Perform hypothesis testing, predictive modeling, and optimization to support strategic initiatives.
  • Publish internal technical reports and contribute to research papers/patents.
  • Maintain knowledge of the latest research trends in AI/ML, deep learning, NLP, and data analytics.

Required Qualifications:

  • PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Artificial Intelligence, or a related field.
  • Proven experience in applying machine learning, deep learning, and statistical techniques to real-world problems.
  • Strong programming skills in Python, R, or similar languages, with expertise in libraries/frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
  • Proficiency in SQL and working with large-scale data platforms (Hadoop, Spark, or similar).
  • Excellent communication and presentation skills to explain complex technical concepts to non-technical stakeholders.

Preferred Skills:

  • Experience working with cloud platforms (AWS, Azure, GCP).
  • Exposure to natural language processing (NLP), computer vision, or reinforcement learning.
  • Domain expertise in [Healthcare, Finance, Retail, etc. – customize as per your industry].
  • Track record of academic publications or patents in AI/ML/Data Science.

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