Data Scientist - Machine Learning

Job Summary:

We are looking for an experienced Data Scientist to design, develop, and deploy data-driven solutions using machine learning and statistical techniques. The ideal candidate should have strong expertise in Python, machine learning frameworks, data analysis, regression techniques, and API development.

Key Responsibilities:

- Develop and implement machine learning models for business and analytical requirements.

- Perform data preprocessing, cleaning, transformation, and exploratory data analysis.

- Use Python, Pandas, and NumPy for data analysis and model development.

- Build, train, validate, and optimize machine learning models.

- Apply regression analysis and statistical techniques to identify patterns and generate insights.

- Develop and implement deep learning solutions using TensorFlow and PyTorch.

- Evaluate model performance and improve accuracy, scalability, and reliability.

- Develop and integrate REST APIs for deploying and consuming machine learning models.

- Collaborate with engineering, product, and business teams to understand requirements and deliver data-driven solutions.

- Document models, methodologies, analysis, and technical processes.

Mandatory Skills:

- Python

- Machine Learning

- Pandas

- NumPy

- TensorFlow

- PyTorch

- Regression Analysis

- REST APIs

Candidate Profile:

- 7 - 12 years of relevant experience in Data Science / Machine Learning.

- Masters degree in a relevant field such as Computer Science, Data Science, Statistics, Mathematics, AI/ML, or a related discipline.

- Strong programming and analytical skills.

- Experience developing and deploying machine learning models in real-world environments.

- Strong problem-solving and communication skills.

- Candidates who can join within 15 days will be preferred.