Senior Data Scientist

6 days ago

Nashik, Maharashtra, India beBeeDataScientist Full time ₹ 18,00,000 - ₹ 25,00,000

We are seeking a highly skilled Data Scientist with a strong foundation in developing and deploying machine learning models, extracting insights from complex datasets, and building scalable data-driven solutions.

This role involves designing and implementing AI/ML models, writing production-ready engineering code, and collaborating with cross-functional teams to drive strategic business outcomes.

The ideal candidate will have experience with machine learning model development, deployment, and maintenance, as well as strong proficiency in Python and relevant libraries.

Key Responsibilities:
  • Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.
  • Extract insights from complex data and communicate findings to stakeholders.
  • Design and implement data-driven solutions, including real-time and batch processing systems.
  • Collaborate with engineers to build scalable and efficient data pipelines.
  • Develop and maintain RESTful APIs to serve machine learning models.
  • Work with databases, including data modeling, schema design, and query optimization.

Required Skills and Qualifications:

  • 5+ years of experience in data science and machine learning.
  • Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.
  • Experience with machine learning model development, deployment, and maintenance.
  • Strong understanding of data structures, algorithms, and software design patterns.
  • Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).

Benefits:

  • Competitive salary and benefits package.
  • Opportunity to work on complex and challenging projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

Nice to Have:

  • Experience with time series forecasting and analysis.
  • Knowledge of deep learning frameworks like TensorFlow or Keras.
  • Familiarity with natural language processing (NLP).

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