Chief Data Scientist-Full-Time

AML Monitor.

• Data Analysis and Interpretation : Analyze large datasets to identify trends, patterns, and correlations, and translate findings into actionable insights.
• Machine Learning Development : Develop and deploy machine learning models for predictive analysis, optimization, and other business applications.
• Statistical Modeling : Design and implement statistical models to solve complex business problems and improve operational efficiency.
• Data Visualization : Communicate findings effectively through data visualization techniques, such as charts, graphs, and dashboards.
• Collaboration : Collaborate with cross-functional teams to understand business requirements, provide analytical support, and deliver solutions.
• Quantitative Analysis : Utilize quantitative analysis, experimentation, data extraction, and data presentation to formulate strategies for various financial products.

Team Building : Collaborate with cross-functional and Product, Engineering, and engineering teams to support, advise, and implement product investment and strategy decisions.

Role Specific Technical Competencies

• Master’s degree in Computer Science, Computing engineering, Mathematics, Finance, Commerce or a related field.
• Advanced skills in Information Technology, certification or diploma in Information Technology.
• 3+ years of experience in Data Science
• Data science experience ideally in ESG domain
• Solid SQL skills for querying relational databases (e.g., SQL Server)

Functional Requirement :

• Proficiency in producing concise, comprehensible code adhering to prevailing industry benchmarks and practices.
• Comprehensive understanding of both theoretical and practical aspects of Machine Learning principles.
• Capability to identify and address data biases, proposing and implementing suitable mitigation strategies.
• Demonstrated adeptness in interpersonal communication, effectively articulating intricate technical concepts to non-technical audiences.
• Openness to diverse viewpoints and perspectives, fostering an inclusive and collaborative work environment.
17 days ago