Data Science is responsible for leading the data science function, driving data-driven decision-making, and delivering advanced analytics, machine learning, and AI solutions that support business objectives. This role combines strong technical expertise, leadership capabilities, and business acumen to manage a team of data scientists and collaborate with stakeholders across the organization.

Key Responsibilities

Advanced Analytics & Machine Learning

Design and implement predictive, prescriptive, and descriptive analytics solutions.
Develop machine learning, deep learning, and AI models to solve business challenges.
Guide model selection, feature engineering, model training, and performance evaluation.
Ensure models are scalable, reliable, and aligned with business needs.

Business Partnership

Collaborate with business leaders to identify opportunities for data-driven improvements.
Translate complex business problems into analytical frameworks and actionable solutions.
Present insights, recommendations, and model outcomes to executive stakeholders.
Drive adoption of analytics and AI across business functions.

Data Strategy & Governance

Contribute to enterprise data strategy and analytics roadmap development.
Ensure compliance with data governance, privacy, and security policies.
Promote data quality, integrity, and accessibility across the organization.
Work closely with Data Engineering and BI teams to establish trusted data platforms.

Project & Stakeholder Management

Manage multiple analytics and AI projects simultaneously.
Define project scope, timelines, resource requirements, and success criteria.
Monitor project progress and communicate updates to stakeholders.
Ensure projects are delivered on time and within budget.

Model Deployment & MLOps

Collaborate with engineering teams to deploy machine learning solutions into production.
Implement model monitoring, retraining, and lifecycle management processes.
Drive adoption of MLOps frameworks and automation practices.
Ensure model explainability, fairness, and performance tracking.

Innovation & Research

Evaluate emerging AI, machine learning, and analytics technologies.
Identify opportunities to leverage Generative AI and advanced analytics capabilities.
Promote experimentation through proof-of-concept initiatives and pilot projects.
Stay current on industry trends and technology advancements.

Required Qualifications

Bachelor‘s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.
Master‘s degree in Data Science, Artificial Intelligence, Analytics, Statistics, or a related discipline is preferred.
At least 5 years of experience in Data Science, Machine Learning, Advanced Analytics, or AI.
Experience delivering machine learning solutions in production environments.
Proven track record of leading cross-functional analytics initiatives.
Experience working with enterprise-scale data platforms and cloud environments.

Technical Skills