About the role
Key Responsibilities
- Analyze large datasets to identify patterns and insights
- Develop and implement machine learning models
- Perform data preprocessing, cleaning, and transformation
- Work on predictive analytics and forecasting
- Collaborate with cross-functional teams to solve business problems
- Present insights using data visualization tools
- Continuously improve models and algorithms
- Strong knowledge of Python / R programming
- Familiarity with machine learning algorithms
- Knowledge of statistics and data analysis techniques
- Experience with data manipulation (Pandas, NumPy)
- Basic understanding of SQL and databases
- Strong problem-solving and analytical skills
- Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
- Knowledge of data visualization tools (Power BI, Tableau, Matplotlib)
- Familiarity with big data tools (Spark, Hadoop)
- Understanding of cloud platforms (AWS / Azure)
- B.Tech / B.E / MCA / M.Sc / B.Sc/Any Graduate (Data Science, Statistics, or related field)
- 01–3 years of experience in data science or analytics
- Freshers with strong projects in ML/Data Science can apply