• Develop and implement machine learning models to address specific business challenges.
• Collaborate with cross-functional teams to identify opportunities for data-driven solutions.
• Analyze large and complex datasets to uncover trends, patterns, and actionable insights.
• Design and execute experiments to validate hypotheses and optimize processes.
• Build predictive and prescriptive models to forecast outcomes and recommend actions.
• Create and maintain data pipelines for extracting, transforming, and loading data efficiently.
• Automate repetitive tasks and processes using AI and machine learning.
• Prepare visualizations and dashboards to effectively communicate analytical results.
• Ensure all models and analyses comply with organizational data governance standards.
• Contribute to the continuous improvement of analytics frameworks and methodologies.
• Stay updated with the latest trends and tools in data science and machine learning.
• Mentor junior team members and provide technical guidance when needed.
• Collaborate with data engineers to ensure the integrity and quality of data pipelines.
• Develop documentation for models, processes, and methodologies to support knowledge sharing.
• Support stakeholders in understanding and applying analytical insights to their operations.

Knowledge & Experience

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5-7 years of experience in data science, analytics, or machine learning roles.
• Proven experience in building, validating, and deploying machine learning models.
• Experience working in a cross-functional team environment.
• Excellent written and verbal English language proficiency.