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Senior Data Scientist

2 months ago

Hyderabad, India Intellectt Inc Full time

Job Title: Senior Data Scientist

Location: Gachibowli

Experience: 8-10 years

Job Description:

We are looking for a skilled Senior Data Scientist with experience in designing, developing, and deploying machine learning models tailored to the healthcare, medical devices, wealth management, and retail sectors. The ideal candidate will have a strong background in various machine learning techniques and tools, with a proven track record of delivering high-performance models.

Key Responsibilities:

  1. Model Design and Development:
  • Design, develop, and deploy machine learning models including Classification, Clustering, Time Series, Regression, and Deep Learning models.
  • Leverage expertise in diverse modeling techniques to solve complex problems in the healthcare, finance, and retail domains.
  1. Technologies and Tools:
  • Utilize Python and its ecosystem (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to build and optimize models.
  • Develop models using various algorithms such as Logistic Regression, Decision Trees, Random Forest, Gradient Boosting, SVM, Neural Networks, K-Means Clustering, Hierarchical Clustering, DBSCAN, ARIMA, LSTM, Prophet, Linear Regression, Ridge Regression, Lasso Regression, CNNs, RNNs, Autoencoders, and Bayesian Regression.
  1. Model Training and Validation:
  • Implement best practices for model training, tuning, and validation to ensure robustness, accuracy, and scalability.
  • Continuously refine models to enhance performance and reliability.
  1. RAG-Based Model Development:
  • Develop Retrieval-Augmented Generation (RAG) models to improve data retrieval processes and enhance the accuracy of AI-driven solutions.
  1. Advanced Techniques:
  • Apply advanced techniques in natural language processing (NLP), deep learning, and predictive analytics.
  • Utilize tools like LLaMA and LangChain for advanced model integration, particularly in natural language and large language model applications.
  1. Data Handling and Preprocessing:
  • Conduct comprehensive data exploration, preprocessing, and feature engineering on large datasets to ensure optimal performance and insights.
  1. Azure Integration:
  • Use Azure services (Azure Machine Learning, Azure Databricks, Azure Data Factory) for data integration, cleaning, transformation, and storage.
  • Leverage Azure Databricks for efficient data processing, model training, and scaling.
  1. Regulatory and Compliance:
  • Ensure models comply with regulatory and compliance standards in the healthcare and finance sectors.

Requirements:

  • Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Experience: 8-10 years of experience as a Data Scientist or in a similar role, with proven experience in developing models in healthcare, medical devices, wealth management, or retail domains.
  • Tools: Familiarity with data visualization tools such as Power BI or Tableau.