Data Scientist (225-1007)

A Data Scientist plays a crucial role in deciphering and leveraging data to drive strategic decisions and enhance business outcomes. With an ability to translate complex datasets into actionable insights, a Data Scientist supports various teams by providing predictive modeling, statistical analysis, and machine learning expertise. This position demands a deep understanding of data analysis techniques and the skill to communicate findings effectively to stakeholders across the organization. As businesses increasingly rely on data-driven strategies, Data Scientists are at the forefront, ensuring that data integrity and analytics become essential engines for decision-making and organizational improvement.

Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable insights.
• Develop predictive models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams to integrate data-driven solutions.
• Conduct data mining and exploration to uncover impactful findings.
• Ensure data integrity and accuracy across all analytics projects undertaken.
• Implement machine learning tools and algorithms in production environments.
• Create clear and detailed documentation of models and analytical processes.
• Visualize data and present findings to technical and non-technical stakeholders.
• Stay updated on industry trends and advancements in data science methodologies.
• Mentor junior data scientists and provide guidance on project workflows.
• Design experimental frameworks and manage data-driven research projects.
• Collaborate in the development of data-driven products and features.

Requirements

• Bachelor’s or Master’s degree in Data Science, Mathematics, or related field.
• Strong programming skills in languages such as Python, R, or SQL.
• Proven experience with machine learning frameworks and data analysis tools.
• Ability to communicate complex data analysis clearly and effectively.
• Experience with data visualization tools like Tableau or Power BI.
• Proficiency in statistical analysis and predictive modeling techniques.
• Strong problem-solving skills and analytical thinking capabilities.