Senior Business Intelligence Analyst

3 days ago

Amrāvati, Maharashtra, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Senior Data Scientist

We are seeking a highly skilled Data Science Leader to join our team. The ideal candidate will have a strong background in developing and deploying machine learning models, extracting actionable insights from complex datasets, and building scalable, data-driven solutions.

In this role, you will:

  • Design and implement advanced AI/ML models to drive business growth.
  • Write robust engineering-grade code that integrates seamlessly into production environments.
  • Collaborate with cross-functional teams to turn data into actionable insights and drive measurable outcomes.

Key Responsibilities:

  1. Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.
  2. Extract insights from complex data and communicate findings to stakeholders.
  3. Design and implement data-driven solutions, including real-time and batch processing systems.
  4. Collaborate with engineers to build scalable and efficient data pipelines.
  5. Develop and maintain RESTful APIs to serve machine learning models.
  6. Work with databases, including data modeling, schema design, and query optimization.
  7. Work with GitHub, Docker, and AWS to ensure smooth deployment and management of models.
  8. Stay up-to-date with industry trends and advancements in AI/ML.

Requirements:

  1. 5+ years of experience in data science and machine learning.
  2. Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.
  3. Experience with machine learning model development, deployment, and maintenance.
  4. Strong understanding of data structures, algorithms, and software design patterns.
  5. Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  6. Experience with GitHub, Docker, and AWS.
  7. Familiarity with RESTful API design and development.
  8. Experience with real-time and batch processing systems.

Benefits:

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

Nice to Have:

  1. Experience with time series forecasting and analysis.
  2. Knowledge of deep learning frameworks like TensorFlow or Keras.
  3. Familiarity with natural language processing (NLP).
  4. Experience with data visualisation tools like Matplotlib, Seaborn, or Plotly.
  5. Knowledge of Agile development methodologies and Scrum framework.
  6. Experience with cloud platforms like AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.

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