Role : Data Science

Mode : 5 Days WFO

Key Responsibilities

Data Modeling & Machine Learning :

• Build, test, and deploy machine learning models using Python, PyTorch, and other relevant libraries (e.g., scikit-learn, pandas, NumPy).
  
  

Model Deployment

• Deploy machine learning models into production, ensuring scalability, reliability, and performance.
  
  

Data Exploration & Preprocessing

• Work with large, complex datasets, conducting exploratory data analysis (EDA) to uncover trends, patterns, and insights.
  
  

Collaboration

• Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to translate business problems into data science solutions.
  
  

Algorithm Development

• Develop and optimize custom algorithms to solve specific business challenges, leveraging deep learning, supervised and unsupervised learning techniques.
  
  

Model Evaluation & Tuning

• Conduct model evaluation, fine-tuning, and continuous improvement to achieve optimal performance.
  
  

Communication

• Effectively communicate technical results to both technical and non-technical stakeholders through reports, visualizations, and presentations.
  
  

(ref:hirist.tech)