Data Scientist

Roles and Responsibilities:

• Design, implement, and optimize AI-driven solutions based on business and stakeholder requirements.
• Develop and deploy machine learning and statistical models to generate actionable insights from complex datasets.
• Apply Generative AI (GenAI), traditional ML, NLP, computer vision, and predictive analytics techniques where relevant.
• Collect, clean, and preprocess structured and unstructured datasets for model training and evaluation.
• Utilize MLOps practices and cloud platforms to ensure scalable and ethical deployment of AI solutions.
• Translate business objectives into technical AI/ML strategies aligned with stakeholder needs.
• Apply strategic thinking and business acumen to evaluate business problems and design impactful solutions.
• Manage AI and Data Science project lifecycles from data exploration to deployment using agile methodologies.
• Define and measure KPIs to assess the effectiveness and business impact of AI solutions.
• Collaborate with cross-functional teams to integrate AI models into existing systems.
• Present analytical findings to both technical and non-technical audiences using dashboards and data visualizations.
• Continuously learn and apply emerging AI technologies, frameworks, and development best practices.