About The Role
We are seeking a senior data science leader to build and scale advanced analytics and machine learning capabilities that directly impact commercial and operational performance. This role is responsible for translating complex data into measurable business value through predictive modeling, personalization, and data-driven decision frameworks.
You will define the data science vision, lead high-impact analytical initiatives, and partner closely with business and technology leaders to embed advanced analytics into core processes.
Key Responsibilities
- Define and execute the enterprise data science strategy aligned with business priorities and analytics roadmaps.
- Lead the development and deployment of machine learning models for forecasting, personalization, and decision optimization.
- Transform complex datasets into actionable insights that support strategic initiatives and operational excellence.
- Oversee predictive modeling, advanced analytics, and experimentation to improve customer engagement and conversion.
- Partner with business units to identify high-value use cases and translate business problems into analytical solutions.
- Collaborate with technology teams to ensure scalable data pipelines, model deployment, and system integration.
- Establish governance standards for model quality, performance monitoring, and continuous improvement.
- Act as a strategic advisor to senior leadership on data-driven opportunities and risks.
Key Deliverables
- A clear data science strategy and multi-year roadmap aligned with enterprise objectives.
- Production-ready machine learning models delivering measurable commercial and operational impact.
- Executive-level insight reports and analytical recommendations.
- Improved forecasting accuracy, personalization outcomes, and decision quality across the organization.
Requirements
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field; Master's degree preferred.
- Minimum 10–12 years of experience in data science, advanced analytics, or applied machine learning roles.
- Proven leadership experience building and managing data science teams and analytical capabilities.
- Strong hands-on knowledge of machine learning techniques, predictive modeling, and statistical analysis.
- Experience working with large-scale data environments, cloud platforms, and modern data architectures.
- Ability to translate complex analytical outputs into clear business insights and recommendations.
- Strong stakeholder management skills with experience partnering with business, technology, and product teams.
- High level of business acumen, strategic thinking, and outcome-oriented mindset.
Preferred Qualifications
- Experience implementing AI-driven personalization or decisioning at scale.
- Familiarity with model governance, explainability, and performance monitoring frameworks.
- Exposure to regulated or data-intensive industries is a strong advantage.
- Professional certifications in Data Science, Machine Learning, or Advanced Analytics are a plus.
