Senior Data Scientist

2 weeks ago

Aurangabad, Maharashtra, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Join a dynamic team as we seek a highly skilled Data Analyst. If you have a passion for data science and enjoy working with large datasets, this role may be the perfect fit for you.

About the Role:

  • We are looking for a talented data scientist to design and develop advanced machine learning models to solve complex business challenges.
  • The ideal candidate will conduct in-depth research and experimentation to innovate and improve data science methodologies.
  • You will 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.
  • Stay updated with the latest research trends in AI/ML, deep learning, NLP, and data analytics.
  • Mentor junior data scientists and provide thought leadership within the team.

Required Qualifications:

  • A 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).
  • A strong background in mathematics, probability, linear algebra, and optimization.
  • Experience with research publication or contribution to open-source projects is a plus.
  • 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.
  • A strong domain expertise in Healthcare, Finance, Retail, etc.
  • A track record of academic publications or patents in AI/ML/Data Science.

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