Job Description
- Collect, extract, and compile data from multiple sources, ensuring accuracy and consistency.
- Clean and transform raw data into structured, usable datasets.
- Conduct exploratory and statistical analysis to identify trends and patterns.
- Build and maintain scorecards, models, and reports to support decision-making.
- Use data visualization techniques to present insights clearly to stakeholders.
- Provide analytical support for projects including market analysis, customer segmentation, and performance tracking.
- Identify opportunities to streamline processes, increase efficiency, and optimize revenue.
- Stay up to date with emerging technologies, tools, and best practices in data science and analytics.
Requirements:
- Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or a related field.
- 5 years of proven experience as a Data Scientist or in a similar role, preferably within credit or financial services.
- Proficiency in Google Cloud Platform (GCP), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker.
- Strong analytical and problem-solving skills with experience handling large datasets.
- Solid knowledge of statistical analysis and data modeling.
- Excellent communication and presentation skills.
- Strong working knowledge of Microsoft Excel and other data manipulation tools.
- Familiarity with data governance and awareness of data privacy regulations is a plus.
What’s in it for You?
- A chance to work in a high-growth, innovative environment.
- Opportunities to make a tangible impact through data-driven decision-making.
- Continuous professional development and learning opportunities.
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