Posted on: 08/09/2025
Key Responsibilities :
- Assist in collecting, cleaning, and analyzing large datasets to identify trends and patterns.
- Develop and implement basic machine learning models and statistical analyses under
guidance.
- Collaborate with cross-functional teams to understand business challenges and translate
them into data science tasks.
- Create data visualizations and reports to communicate insights effectively to stakeholders.
- Support data validation, feature engineering, and model evaluation activities.
- Stay updated on emerging data science techniques and tools to enhance skillset.
- Maintain documentation of data processes, models, and experiments.
Qualifications and Skills :
- Proficiency in programming languages such as Python or R.
- Basic knowledge of machine learning algorithms, statistical methods, and data mining
techniques.
- Experience working with SQL and databases.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib).
- Strong analytical, problem-solving, and critical-thinking skills.
- Good communication skills with the ability to present findings clearly.
- Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
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