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.

Responsibilities:

• 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.

Required Qualifications and Experience:

• 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.