Senior Manager

Job Title:Senior Data Scientist

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Job Summary

Senior Data Scientist

Key Responsibilities

• Lead end-to-end data science projects from problem definition to solution delivery.
• Design and implement machine learning and statistical models to solve business problems.
• Analyze large, complex datasets to extract actionable insights and support decision-making.
• Collaborate with engineering teams to deploy models into production environments.
• Translate business requirements into data science problems and effectively communicate results to non-technical stakeholders.
• Mentor and guide junior data scientists, reviewing code and sharing best practices.
• Continuously evaluate and improve model performance, accuracy, and scalability.
• Stay updated with the latest research and industry trends in data science and AI.
  

Required Skills and Qualifications:

• 5+ years of experience in data science, machine learning, or applied statistics.
• Advanced proficiency in Python or R, along with data libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.
• Strong SQL skills and experience working with large-scale data (structured & unstructured).
• Experience deploying ML models in production (e.g., using AWS/GCP, Docker, MLflow, etc.).
• Solid understanding of statistical modeling, hypothesis testing, A/B testing, and time-series analysis.
• Strong communication and data storytelling skills.
• Proven ability to manage multiple projects and stakeholders