Sr Data Scientist-2

Senior Data Scientist-2 Overview

Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data-driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go-to-market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost-efficient manner.

Key Responsibilities

Strategic Support
- Design and implement value enablement frameworks that optimize pricing strategies, enhance pre-sales propositions, and ensure customer success.
- Collaborate with global and regional teams to tailor solutions that meet regional business needs and align with Mastercards objectives.
- Provide data-driven insights and recommendations to optimize pricing, pre-sales strategies, and customer success outcomes.
- Develop frameworks, project structures, and presentations to communicate key strategic initiatives.
- Conduct data integrity checks and ensure quality and reliability in data used for analysis.
- Translate complex business problems into analytical solutions that support strategic decision-making.

Technical Leadership
- Lead the development of advanced analytics tools, such as ROI calculators and value dashboards, to measure and optimize business performance.
- Utilize Python, SQL, and BI tools (e.g., Tableau, Power BI) for data analysis, modeling, and visualization.
- Create dynamic, interactive dashboards to provide stakeholders with actionable insights.
- Integrate AI/ML models to enhance the accuracy and efficiency of analytical tools (good-to-have, not mandatory).
- Drive process efficiency and scalability through automation and advanced analytics techniques.

Value Enablement Initiatives
- Develop frameworks for measuring and tracking customer value realization.
- Design predictive models and real-time insights to create tailored customer solutions and business cases.
- Build self-service analytics tools to empower stakeholders with actionable insights.
- Encourage a culture of innovation by promoting participation in Sandbox challenges and regular brainstorming sessions.
- Develop flexible and agile solutions based on a deep understanding of business goals and market context.

Collaboration & Team Enablement
- Collaborate with cross-functional teams to ensure smooth execution of strategic initiatives and projects.
- Foster a collaborative and innovative environment, promoting knowledge sharing and teamwork.
- Lead working sessions to drive alignment and productivity within the team.
- Provide mentorship and feedback to support team members professional development.
- Lead internal training and enablement efforts on analytics tools and methodologies.

Stakeholder Management
- Manage and implement roadmaps for strategic projects, ensuring alignment with business priorities.
- Engage regularly with stakeholders, ensuring effective communication of project progress and addressing escalations.
- Lead standups and project meetings, ensuring clear articulation of agendas, action items, and next steps.

Qualifications

Experience
- 5+ years of experience in analytics, data science, pricing strategy, customer success, or related fields, ideally within the payments, financial services, or technology sectors (experience in payments industry is a strong plus).
- Proven track record of developing and scaling data-driven tools and frameworks with measurable outcomes.
- Experience in using Python, SQL, and BI tools (e.g., Tableau, Power BI) for building analytics solutions.
- Experience integrating AI/ML models to enhance predictive insights and automate workflows is a good-to-have.
- Proficient in Microsoft Excel and PowerPoint for data analysis, reporting, and presentation development.

Skills
- Strong technical acumen with the ability to design and implement advanced analytics and visualization solutions.
- Exceptional analytical and problem-solving skills, with the ability to derive actionable insights from complex data sets.
- Clear and concise communication skills, with the ability to translate technical insights into business impact for both technical and non-technical stakeholders.
- Ability to work collaboratively within cross-functional teams and promote a knowledge-sharing environment.
- Deep understanding of pricing strategies, customer success enablement, and revenue optimization principles.

Education
- Bachelor s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field.
- Advanced degrees (MBA, Master s, or certifications in analytics, data science) are preferred