Senior Data Scientist – Analytics & Strategy | Min 10+Years Exp. Required (Only G.C / U.S.C)
6+Months
Raleigh, NC (Hybrid)
**Minimum Qualifications:**
- **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).
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**Preferred Qualifications:**
- **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.
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**Key Responsibilities:**
- 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.
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