Key Responsibilities
- Develop and maintain Python-based applications for data analysis and modeling.
- Perform advanced data analytics using classification, regression, and other machine learning techniques.
- Design, build, and optimize predictive and statistical models.
- Clean, process, and analyze large datasets to extract actionable insights.
- Implement and deploy models using cloud platforms and best cloud practices.
- Work with structured and unstructured data from multiple sources.
- Collaborate with data analysts, engineers, and business teams to understand requirements.
- Optimize model performance and ensure scalability and reliability.
- Document code, models, and workflows clearly for future reference.
- Stay updated with the latest tools, libraries, and industry trends in data science and cloud computing.
Required Qualifications & Skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.).
- Hands-on experience with classification, regression, and advanced machine learning models.
- Good understanding of statistical analysis and data preprocessing techniques.
- Experience with cloud platforms (AWS / Azure / GCP) and cloud-based deployment practices.
- Knowledge of SQL and working with databases is a plus.
- Familiarity with data visualization tools (Matplotlib, Seaborn, Power BI, or similar) is an advantage.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and in a team environment.
What We Offer
- Competitive salary (based on skills and experience).
- Opportunity to work on advanced analytics and real-world data projects.
- Professional and growth-oriented work environment.
- Exposure to modern cloud technologies and scalable systems.
- Long-term career development opportunities.
Job Type: Full-time
Pay: ₹15,000.00 - ₹20,000.00 per month
Work Location: In person
