Data Scientist
6 months ago
Experience-7+yr
Notice period-15Days
**Key Responsibilities**:
- Develop and implement machine learning models using Python, Pyspark, and GCP.
- Collaborate with cross-functional teams to identify business problems and opportunities for data science solutions.
- Conduct exploratory data analysis and statistical modeling to extract insights from large datasets.
- Optimize existing models for improved performance and accuracy.
- Contribute to the development of best practices for data science methodologies and processes.
**Job Requirements**:
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
- Proficient in Python, Pyspark, ML, AIMl, GEN, AWS, Microsoft Azure, and Google Cloud Platform (GCP).
- Familiarity with artificial intelligence (AI) technologies such as natural language processing (NLP), computer vision, and recommendation systems.
- Strong understanding of machine learning algorithms and techniques such as decision trees, random forests, gradient boosting machines (GBMs), support vector machines (SVMs), neural networks (NNs), deep learning (DL) architectures like convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
- Knowledge of statistical methods for hypothesis testing and model validation.
- Familiarity with cloud computing platforms like AWS or GCP is preferred but not required.
**Job Types**: Full-time, Permanent
Pay: ₹1,500,000.00 - ₹2,500,000.00 per year
**Benefits**:
- Health insurance
- Paid sick time
- Provident Fund
- Work from home
Schedule:
- Monday to Friday
**Experience**:
- total work: 8 years (preferred)
Work Location: Remote
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