Posted on: 20/11/2025
Description :
Responsibilities :
- Develop and deploy predictive and statistical models to support business decisions.
- Perform data cleaning, transformation, and analysis to derive actionable insights.
- Collaborate with cross-functional teams to understand business needs and deliver analytical solutions.
- Communicate findings effectively through reports and dashboards.
- Continuously explore and evaluate new analytical tools and technologies.
Requirements :
- Total Experience: 3-5 years.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Must-Have Skills :
- Data Science with hands-on experience in predictive modeling, forecasting, segmentation, and optimization.
- Strong proficiency in Python and R (R is preferred, but not mandatory).
- Solid understanding of data structures, mathematics, and statistical analysis.
- Proven experience in handling large datasets and building machine learning models.
- Ability to translate business requirements into analytical solutions.
Preferred Skills (Good to Have) :
- Experience with data visualization tools (Power BI, Tableau, etc.).
- Familiarity with SQL, ETL processes, and cloud platforms (AWS, GCP, or Azure).
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