Data Scientist

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About the Role

Data Scientist with a PhD

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, where appropriate, 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

• 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).
• 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.
• Strong domain expertise in [Healthcare, Finance, Retail, etc. – customize as per your industry].
• Track record of academic publications or patents in AI/ML/Data Science.