Lead Data Science Expert

2 days ago

Bareilly, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Senior Data Scientist

As a seasoned professional in machine learning models, data analysis, and software development, you will drive business growth and innovation by leveraging your expertise.

The ideal candidate will possess a strong background in designing and implementing advanced AI/ML models to support strategic business objectives, developing robust engineering-grade code that integrates seamlessly into production environments, and collaborating with cross-functional teams to turn data into actionable insights and drive measurable business outcomes.

Key Responsibilities:

1. Machine Learning Models Development

Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.

2. Data Insights Extraction and Communication

Extract insights from complex data and communicate findings to stakeholders.

3. Data-Driven Solutions Design and Implementation

Design and implement data-driven solutions, including real-time and batch processing systems.

4. Collaboration with Engineers

Collaborate with engineers to build scalable and efficient data pipelines.

5. RESTful APIs Development

Develop and maintain RESTful APIs to serve machine learning models.

Technical Requirements:

Must-Haves:

  • 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).
  • Experience with GitHub, Docker, and AWS.
  • Familiarity with RESTful API design and development.
  • Experience with real-time and batch processing systems.

Nice-to-Haves:

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

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