Senior Data Scientist

As a Senior Data Scientist, your role will involve driving data-driven decision-making and risk assessment by developing predictive models and machine learning solutions to solve complex business challenges. You will collaborate with cross-functional teams to integrate data science strategies into business processes. **Key Responsibilities:** - Proficiently analyze and manage large datasets, leveraging expertise in data science, data analysis, and data management, particularly within data laboratories or analytics environments. - Collaborate with internal and external stakeholders to design and implement data strategies that align with the organization's overarching goals and objectives. - Develop and implement predictive models and machine learning algorithms to address business challenges, providing actionable insights that drive strategic decision-making. - 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. **Qualifications Required:** - Bachelor's or Masters degree (or equivalent) in Economics, Statistics, Data Science, or a related field. - 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. - 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 You should also have 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 will be beneficial for this role.,