Data Scientist - Business Analytics & Strategy

Lead analytical projects that inform and influence strategic decisions at the executive level.

• Act as an internal consultant, collaborating with product, finance, operations, and technology teams to identify opportunities and design data-driven solutions.
• Develop and deploy advanced statistical and machine learning models to address real-world business problems.
• Present complex analysis through clear, compelling storytelling and visualization.
• Mentor junior analysts and evangelize best practices in data science and analytics across the organization.

10+ years of professional experience in business analytics, data science, or strategic analytics roles.

• Proven ability to connect data-driven insights with core business objectives and drive measurable outcomes.
• Demonstrated initiative, strong ownership, and the ability to operate independently as well as effectively within diverse teams.
• Track record of collaborating with multifunctional business units and translating analytical findings into actionable recommendations for business leaders.
• Ability to influence cross-functional teams and stakeholders, even without direct reporting lines.
• Exceptional verbal and written communication skills; adept at simplifying advanced analytical concepts for executive audiences and decision-makers.
• Prior experience in a client-facing, management consulting, or high-velocity business environment.
• Advanced proficiency in modern data analysis tools and programming languages, such as SQL, Python or R; experience with state-of-the-art visualization platforms (Tableau, Power BI, etc.).
• Hands-on expertise applying statistical modeling, predictive analytics, and machine learning methodologies to solve business problems.
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering, or related)., 15+ years in advanced analytics, business intelligence, or data science-particularly within financial services, technology, or payments sectors.
• Experience managing ambiguity to build scalable analytical solutions for complex business challenges.
• Leadership history involving the rollout of large-scale, strategic analytics or data-driven transformation programs.
• Master's or PhD degree in a quantitative discipline (Econometrics, Applied Mathematics, Statistics, Data Science, or similar).
• Background working for leading global companies or top consultancies.