Research Fellow

Responsibilities:

• Clean and preprocess data to ensure accuracy, consistency, and completeness.

• Apply statistical techniques and data mining methods to explore and analyze large datasets.

• Identify meaningful patterns, trends, and correlations in the data.

• Develop and implement data models, algorithms, and visualizations to present findings effectively.

• Prepare and deliver clear and concise reports, dashboards, and presentations to communicate analytical findings to stakeholders.

• Collaborate with teams across the organization to understand their data needs and provide analytical support.

• Ensure data visualizations are intuitive, visually appealing, and easy to understand for non-technical audiences.

• Develop and implement data quality checks and validation processes to ensure data accuracy and integrity.

• Monitor data integrity over time and proactively identify and address any data issues or anomalies.

Skills and Qualifications:

• Masters or PhD in a relevant field (e.g., Statistics, Mathematics, Computer Science).

• 3-5 years of experience in a data science or analytics role.

• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.

• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization.

• Familiarity with statistical techniques and data mining methods.

• Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive and visually appealing dashboards and reports.

• Knowledge of database concepts and experience working with large datasets (good to have).

• Strong attention to detail and ability to handle and analyze data accurately.

• Excellent communication and presentation skills to effectively convey analytical findings to both technical and non-technical stakeholders.

• Ability to work independently and collaboratively in a fast-paced environment.