Data Scientist

Overview

Job Summary:

We are looking for a skilled and motivated Data Scientist with 3 to 5 years of hands-on experience in data analysis, statistical modeling, and machine learning. The ideal candidate should be passionate about data-driven decision-making and able to translate business problems into actionable insights using advanced analytics and predictive modeling.

Key Responsibilities:

• Work closely with stakeholders to understand business objectives and identify data-driven opportunities.
• Design, develop, and implement machine learning models and algorithms.
• Perform exploratory data analysis (EDA), feature engineering, and data preprocessing.
• Build predictive and classification models using tools like Python or R.
• Collaborate with data engineers to ensure data quality and pipeline efficiency.
• Visualize insights and present findings through dashboards and reports using tools like Power BI, Tableau, or similar.
• Communicate technical results to non-technical audiences clearly and effectively.

Required Skills:

• Proficient in Python or R for data analysis and modeling.
• Strong understanding of machine learning algorithms, statistics, and data mining techniques.
• Hands-on experience with SQL and working with relational databases.
• Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, Keras, etc.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau).
• Knowledge of cloud platforms such as AWS, Azure, or GCP is a plus.
• Solid problem-solving skills and attention to detail.

Preferred Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Experience working with large datasets and unstructured data.
• Exposure to NLP or deep learning frameworks is a plus.

Job Type: Full-time

Pay: Up to ₹1,800,000.00 per year

Schedule:

• Day shift

Experience:

• Total Work: 4 years (Preferred)
• Data Scientist: 3 years (Preferred)
• Python: 3 years (Preferred)
• Azure: 2 years (Preferred)

Work Location: In person