Data Scientist

3 days ago

Pune, Maharashtra, India Golden Eagle IT Technologies Full time US$ 6,00,000 - US$ 12,00,000 per year

Description
We are looking for an experienced Data Scientist to lead data-driven initiatives, build advanced models, and provide actionable insights that support strategic decision-making. The ideal candidate should have strong expertise in Machine Learning, Deep Learning, NLP, and Python, along with the ability to guide junior team members and manage end-to-end data science projects.

Key Responsibilities

  • Formulate, propose, and manage data-driven projects aligned with business objectives.
  • Collect, clean, and prepare data from multiple sources for analysis and modeling.
  • Build, evaluate, and optimize machine learning, deep learning, and NLP models.
  • Ensure model robustness through cross-validation and scalability checks.
  • Produce clear non-technical reports summarizing insights, model performance, and Translate business requirements into analytical solutions and advise stakeholders on strategic actions.
  • Guide, mentor, and oversee junior data scientists to support project delivery and capability

building.

  • Maintain high-quality documentation of models, processes, and methodologies.
  • Stay updated with evolving trends in data science, ML, NLP, and AI to keep solutions relevant and innovative.

Required Qualifications & Skills

  • Advanced degree in Data Science, Statistics, Computer Science, or a related field.
  • Strong hands-on experience as a Data Scientist with project ownership.
  • Proficiency in Python, NumPy, Pandas, Scikit-learn, Flask, and related ML/AI frameworks.
  • Solid understanding of Machine Learning, Deep Learning, NLP, and statistical techniques.
  • Strong knowledge of SQL and experience with data pipelines.
  • Experience working with AWS services or similar cloud platforms.
  • Proven ability to manage and deliver end-to-end data science projects.
  • Strong communication skills and ability to present findings to non-technical stakeholders.
  • Experience mentoring or supervising junior team members.

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