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 enterprisedata science strategy aligned with business priorities and analyticsroadmaps.
- Lead the development anddeployment of machine learning models for forecasting, personalization,and decision optimization.
- Transform complex datasets intoactionable insights that support strategic initiatives and operationalexcellence.
- Oversee predictive modeling,advanced analytics, and experimentation to improve customer engagement andconversion.
- Partner with business units toidentify high-value use cases and translate business problems intoanalytical solutions.
- Collaborate with technology teamsto ensure scalable data pipelines, model deployment, and systemintegration.
- Establish governance standardsfor model quality, performance monitoring, and continuous improvement.
- Act as a strategic advisor tosenior leadership on data-driven opportunities and risks.
Key Deliverables
- A clear data science strategy andmulti-year roadmap aligned with enterprise objectives.
- Production-ready machine learningmodels delivering measurable commercial and operational impact.
- Executive-level insight reportsand analytical recommendations.
- Improved forecasting accuracy,personalization outcomes, and decision quality across the organization.
Requirements
- Bachelor's degree in ComputerScience, Data Science, Statistics, Mathematics, or a related field;Master's degree preferred.
- Minimum 10–12 years of experiencein data science, advanced analytics, or applied machine learning roles.
- Proven leadership experiencebuilding and managing data science teams and analytical capabilities.
- Strong hands-on knowledge ofmachine learning techniques, predictive modeling, and statisticalanalysis.
- Experience working withlarge-scale data environments, cloud platforms, and modern dataarchitectures.
- Ability to translate complexanalytical outputs into clear business insights and recommendations.
- Strong stakeholder managementskills with experience partnering with business, technology, and productteams.
- High level of business acumen,strategic thinking, and outcome-oriented mindset.
Preferred Qualifications
- Experience implementing AI-drivenpersonalization or decisioning at scale.
- Familiarity with modelgovernance, explainability, and performance monitoring frameworks.
- Exposure to regulated ordata-intensive industries is a strong advantage.
- Professional certifications inData Science, Machine Learning, or Advanced Analytics are a plus.
