Key Responsibilities
- Analyze large datasets to build predictive models, ML algorithms, and data-driven insights.
- Design and implement machine learning pipelines and statistical solutions.
- Work with cross-functional teams to understand business problems and deliver actionable recommendations.
- Perform data cleaning, feature engineering, and model optimization.
- Visualize insights using dashboards, charts, and BI tools.
- Validate model performance and ensure accuracy, scalability, and reliability.
Skills Required
- Strong hands-on experience with Python, ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Expertise in statistical analysis, machine learning, and predictive modeling.
- Strong SQL knowledge and experience working with large datasets.
- Familiarity with cloud platforms (AWS/Azure/GCP) and MLOps tools (bonus).
- Excellent analytical thinking, problem-solving, and communication skills.
Qualifications
- Bachelor’s/Master’s in Data Science, Computer Science, Statistics, or related field.
- 6+ years of experience in data science roles.
Job Type: Full-time
Pay: ₹1,096,307.60 - ₹1,210,808.04 per year
Work Location: In person