Data Science Strategist
1 month ago
Job Description :
The ideal candidate for this role will have a strong background in data analytics, business intelligence, and management. This position requires a visionary leader who can drive the Data and Analytics function to support data-driven decision making across the organization.
Key Responsibilities :
- Develop and implement the overall Data and Analytics strategy.
- Oversee the design, development, and maintenance of predictive models, BI tools and systems.
- Ensure data accuracy, integrity, and security.
- Provide actionable insights to support business decision making.
- Collaborate with cross-functional teams to understand their data needs.
- Manage and mentor a team of data analytics professionals.
- Set performance goals and conduct regular performance reviews.
- Stay updated with the latest trends and technologies.
- Develop and maintain data governance policies.
- Create and deliver presentations to senior management.
- Monitor and report on key performance indicators (KPIs).
- Identify opportunities for process improvements.
- Ensure compliance with data privacy regulations.
Requirements :
- Bachelor's degree in Computer Science, Information Systems, or related field.
- Master's degree preferred.
- Experience in business intelligence/data analytics.
- Experience in a leadership role.
- Experience in R/Python, Machine Learning, Databases, Dashboards.
- Strong knowledge of Data Science, Machine Learning, Data Analytics.
- Strong knowledge of BI tools and systems
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Experience with data warehousing and ETL processes.
- Knowledge of SQL and other database query languages.
- Ability to work collaboratively with cross-functional teams.
- Strong project management skills.
- Experience with data governance and data privacy regulations.
- Ability to manage multiple projects simultaneously.
- Strong attention to detail.
- Ability to think strategically and drive change.
- Relevant experience in Banking and Financial services, with experience in predictive modelling of regulatory and non-regulatory credit risk domain
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