Data Scientist - Machine Learning (5-12 yrs)

Role : Data Science

Mode : 5 Days WFO

Key Responsibilities :

- 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.