Key Responsibilities
• Lead the development and implementation of sophisticated statistical models, predictive analytics, and machine learning algorithms.
• Analyze large, complex datasets to identify trends, correlations, and patterns that drive business or policy decisions.
Use programming languages such as Python or R to conduct advanced quantitative analysis and model development.
• Oversee the extraction, cleaning, transformation, and integration of data from multiple sources to ensure data quality and reliability with an aim of creating detailed, data-driven reports and dashboards that communicate complex findings in a clear and actionable manner.
Develop and optimize data pipelines and workflows to enhance efficiency and reduce processing time.
Implement best practices in data management, including the use of cloud-based storage, databases, and big data technologies.
• Use data visualization tools (e.g., Tableau) to present analysis results to stakeholders, making data insights accessible and understandable.
• Provide strategic recommendations based on quantitative analysis to senior management and our clients
• Stay updated on the latest developments in quantitative research, data science, and machine learning to continuously improve the analytical capabilities of the team.
• Integrate quantitative findings with qualitative insights to provide comprehensive analyses.
• Mentor and lead a team of quantitative analysts, providing guidance, training, and support to enhance their skills and performance.
• Lead cross-functional project teams, coordinating efforts between product delivery unit and other units to deliver high-impact projects.
• Ensure the accuracy, reliability, and validity of all analysis and models through rigorous testing and validation processes.
• Develop and enforce data governance policies, standards, and best practices within the team.
• Conduct regular reviews of models and analytical processes to identify areas for improvement and ensure adherence to best practices.
Education Qualifications
• Master’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, or a related field
Preferred Skills
• Advanced proficiency in statistical analysis, data modeling, and machine learning techniques.
Strong programming skills in languages such as Python or R.
• Expertise in data visualization tools (e.g., Tableau) and data management technologies.
• Excellent problem-solving and analytical thinking skills.
• Strong communication skills, with the ability to convey complex technical information to non-technical audiences.
• Proven leadership and project management skills
Experience
• At least 5 years of experience in quantitative analysis, data science, or a related field, with a proven track record of leading complex data analysis projects. Experience in a senior or leadership role is essential.
• In-depth understanding of quantitative research methodologies and statistical modeling.
• Familiarity with big data technologies, cloud computing, and data warehousing.
• Awareness of the latest trends and developments in data science, machine learning, and artificial intelligence
Desirable Skills
• Innovation: Ability to innovate and experiment with new techniques, tools, and approaches in quantitative analysis.
• Leadership: Strong leadership skills with the ability to mentor, inspire, and guide a team of analysts.
• Collaboration: Excellent interpersonal skills with the ability to work effectively with diverse teams and stakeholders.
What We Offer
• Team: Work with a talented, diverse, and motivated team.
• Compensation: Competitive salary and benefits package.
• Growth: Opportunities for professional growth and development.
• Impact: Be part of a team addressing socio-economic gaps through impactful projects.
• Founding team: You will have been shaping the organization for the future together with your teammates
Submit your CV and Application on Company Website : Click Here
Closing Date : 17th September, 2024
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