Data Science Product Lead
Sao Paulo, Brazil
Mastercard
Wir verbinden und fördern eine integrative, digitale Wirtschaft, von der Menschen, Unternehmen und Regierungen weltweit profitieren, indem wir Transaktionen sicher, einfach und zugänglich machen.Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Data Science Product LeadOverviewAt Mastercard, the People Insights Team play a crucial role in shaping our talent strategy and enhancing employee experience through data-driven insights. The Data Science Product Lead role is a newly created role in our Consulting Team within the Global People Operations and Insights team at Mastercard, operating across multiple Regions & time zones. The ideal candidate will have experience of introducing innovation in a large scale organization through implementation of advanced analytical solutions within the HR functional domain.
Role
Product Strategy and Vision: Define the vision and roadmap for data science products within the People Analytics function, aligning with our People Strategy and business objectives;
Stakeholder Engagement: Proactively collaborates with HR stakeholders and People Analytics Partners to gather & prioritize requirements for potential use cases; keeps stakeholders informed of progress and timelines
Cross functional collaboration: Works in close partnership with Data Science Delivery Lead to execute on Data Science roadmap; converts inputs from stakeholder teams into creative, scalable solutions
Change Management & Enablement: Develop, execute and track change management strategies to drive adoption of data science products amongst intended users; creation of training and support material to drive enablement and adoption of analytical solutions
Continuous Improvement Mindset: Stay up-to-date with industry trends and emerging themes in people analytics domain, identifying opportunities to introduce external perspectives, enhance product offerings and maximize impact
Data Integrity & Governance: Demonstrates exceptional judgment and discretion when dealing with highly sensitive people data including partnering with Data Privacy & Governance teams to obtain appropriate data governance approvals
Outcome focused: Partners with Data Science Delivery Lead to track KPIs (key performance indicators) to measure the success and impact of data-driven HR products.
All About You
Essential
Outcome driven; with experience providing innovative advanced analytical solutions that have lasting impact in multiple dimensions; strategic, operational and financial
Understanding of the HR functional domain; either through hands on experience or external research
Experience of relationship building and managing a group of either internal or external clients
Comfortable working in a technical environment; strong understanding of data science concepts, algorithms, and statistical modelling techniques.
Proven practical experience as a Data Scientist, Product Manager or similar role, with a focus on delivering data-driven products and solutions at scale in organizations.
Flexible and responsible; ability to prioritize and manage multiple projects simultaneously, including adapting where required to changes in business priorities
End-to-end problem-solving and communication abilities: diagnosis, data cleaning, integration and transformation, analysis, visualization, and presentation
Ability to collaborate with peers and cross functional teams, working across multiple time zones
Openness to feedback and strong self-awareness
Ability to work within the confines of data governance and privacy standards
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Consulting Data governance KPIs Privacy Research Security Statistics
Perks/benefits: Flex hours Team events
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