Job Summary:
We are seeking an experienced and strategic Senior Manager – Data Science to lead data-driven initiatives and build advanced analytics capabilities. The ideal candidate will have a strong background in data science, machine learning, statistical modeling, and team leadership. This role requires the ability to translate complex business challenges into actionable insights and scalable data solutions.

Key Responsibilities:

• Lead and mentor a team of data scientists, analysts, and machine learning professionals.
• Develop and implement data science strategies aligned with business objectives.
• Design, build, and deploy predictive models, machine learning algorithms, and analytical solutions.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business decisions.
• Oversee data collection, processing, validation, and analysis to ensure accuracy and reliability.
• Present analytical findings and recommendations to senior stakeholders and leadership teams.
• Monitor model performance and continuously improve analytical methodologies.
• Establish best practices for data governance, model management, and analytics processes.
• Drive innovation by evaluating emerging technologies, tools, and industry trends in data science and artificial intelligence.
• Ensure projects are delivered on time while maintaining high-quality standards.

Required Qualifications:

• Master's degree or higher in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
• Extensive experience in data science, machine learning, predictive analytics, or advanced statistical modeling.
• Proven experience leading and managing high-performing analytics or data science teams.
• Strong proficiency in Python, R, SQL, and data visualization tools.
• Experience working with machine learning frameworks and cloud-based data platforms.
• Excellent problem-solving, analytical, and decision-making skills.
• Strong communication and stakeholder management abilities.

Preferred Skills:

• Deep understanding of AI, machine learning, and big data technologies.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of MLOps, model deployment, and scalable data architecture.
• Ability to manage multiple projects and prioritize competing business needs.

Key Competencies:

• Strategic Thinking
• Leadership & Team Management
• Business Acumen
• Data-Driven Decision Making
• Innovation & Continuous Learning
• Stakeholder Management
• Communication & Presentation Skills