Risk Assessment & Data Analysis Lab- Senior Data Scientist

Seeking an experienced Senior Data Scientist to drive data-driven decision-making and risk assessment. Develop predictive models and machine learning solutions to solve complex business challenges. Collaborate with cross-functional teams to integrate data science strategies into business processes.

Data Analysis & Management:

• Proficiently analyze and manage large datasets, leveraging expertise in data science, data analysis, and data management, particularly within data laboratories or analytics environments.

Strategic Data Collaboration:

• Collaborate with internal and external stakeholders to design and implement data strategies that align with the organization's overarching goals and objectives.

Predictive Modeling & Machine Learning:

• Develop and implement predictive models and machine learning algorithms to address business challenges, providing actionable insights that drive strategic decision-making.

Cross-functional Collaboration:

• Work closely with domain experts and IT professionals to integrate data science solutions into existing systems and processes, ensuring seamless execution and optimization of business operations.

Educational Background:

• Bachelor's or Master’s degree (or equivalent) in Economics, Statistics, Data Science, or a related field.

Professional Experience:

• A minimum of 8 years of relevant experience, including at least 3 years as a Data Scientist or in a similar role focused on data analytics and modeling.

Certifications:

• Certification in data science, machine learning, or related fields is required.
• At least one of the following certifications is mandatory:
• Certified Analytics Professional (CAP)
• AWS Certified Big Data – Specialty
• Google Professional Data Engineer

Technical Skills & Tools:

• Strong experience with data visualization tools such as Matplotlib, Seaborn, Tableau, or similar platforms.
• Prior experience in statistical modeling, risk modeling, or working with large datasets to build complex models and provide actionable insights.