Data Scientist Summary
The Data Scientist at Mastercard Foundation will work with a dynamic team of Advanced Analytics and Business intelligence professionals in analytics and data science.
The Data Scientist will have vast experience in applying data science, machine learning and deep learning in solving
complex problems and generating insights.
The Data Scientist will apply descriptive, predictive, and potentially prescriptive analytics in supporting the Regional, Country,
Research, and other Functional teams to identify and incubate key opportunities that uncover insights and enhance improved programmatic decision making.
The Data Scientist will support the delivery of Advanced Analytics initiatives & Data CoE for Public Good.
The successful Data Scientist will be based in Canada or any of our listed offices in Africa (Rwanda, Ethiopia, Uganda,
Kenya, South Africa, Ghana and Nigeria).
Ways You Can Contribute
The Data Scientist implements Advanced Analytics ‘development-focused Use Cases to accelerate our goals and vision.
Apply descriptive, predictive, and prescriptive analytics to address business needs and answer pertinent programmatic questions.
Execute the development of descriptive, predictive and gradually prescriptive analytical models for programmatic
purposes potentially through collaboration with external partnerships.
Devise data aggregation and integration approach; creation of new & innovative data collection & delivery interfaces
and strategic development of external data partnerships, to enable a public-facing Data & Advanced Analytics CoE.
Conduct analysis to establish trends & correlation as necessary for reports and internal/external use (i.e., regression
Interpret the analysis in order to create concise, insightful stakeholder communications (presentations,
Communicate obstacles and findings from analytics to relevant stakeholders in an effort to improve decision making and drive impact.
Demonstrate where and how data science can drive increased impact, better partnerships and greater results.
Engage with stakeholders in order to understand their business processes, imperatives, constraints and priorities,
and design appropriate analytics solutions to help in achieving their goals.
Credibly influence people regardless of the hierarchy and develop strong stakeholders relationships.
Excellently communicate and engage audiences of non-data experts to understand the power and potential of data
science techniques amidst complex systems and data landscapes.
WHO YOU ARE AS A DATA SCIENTIST
At least 6+ years experience in delivering Advanced Analytics Solutions.
At least 2 years of Data Science experience that has been focused on the Development sector and/or Advanced
Analytics solutions for Social Impact.
Bachelors in Computer Science, MIS, Information Management, Economics, Statistics or any relevant field.
Experience planning and delivering BI and statistical analyses with knowledge of most major platforms and
languages, e.g., Azure, SQL, Python/R, PowerBI, ETL Tools & Techniques, Excel, Tableau etc. (or equivalent).
Proven experience building statistical models for predictive and prescriptive analytics using machine learning, deep learning tools etc.
Strong problem framing ability with a pragmatic approach to establish, prove/disprove a hypothesis or simulate and
be able to intuitively translate insightful discovery into plain language, both in speaking and writing.
Deep knowledge in applied statistics, data management, analytics & data model design and toolsets.
Ability to flexibly engage other analytics capabilities within the org (e.g., Impact) to execute against co-owned deliverables.
Deep experience in mathematics, statistical and regression analysis along with proven expertise in machine learning and deep learning.
Ability to work with complex data sets and understand how to transform disparate data to enable effective analytics.
Possess an exceptional understanding of the latest data and technology thinking across the external landscape.
This includes knowledge and experience of the latest tools, platforms and data provisioning software.
Demonstrated full toolkit of data management and analytics (e.g., cleaning, structuring, validating, correlations,
regressions, statistical analyses).
Passionate about using data and analytics to solve key social problems in Africa.
French language skills are an asset.
The deadline for applications is 20th August 2021.
THE WORK AT THE FOUNDATION
We have entered a very exciting time at the Foundation as we scale up our operations across Africa to realize our Young Africa Works strategy.
Our role at the Mastercard Foundation is to be a catalyst.
Our Young Africa Works strategy focuses on working with others to spur systemic change so young people have the
opportunity to find work that is dignified and fulfilling.
The Foundation has opened offices in Rwanda, Kenya, Ghana, Senegal, Ethiopia, Nigeria and Uganda, building a
broader leadership presence in Africa to develop specific strategies that support youth employment.
Within a country, we work with governments, the private sector, educators and other funders to improve the quality
of education and vocational training, prepare young people for the workforce, expand access to financial services for
entrepreneurs and small businesses, and connect job seekers to dignified and fulfilling work.
We are ambitious and driven. Our values transcend and rise above everything else as our guide.
We encourage you to bring your bold ideas, curiosity, and expertise to your work.
We laugh at ourselves and with each other. We are a team. Our journey together makes our impact even more meaningful.
If you are a Data Scientist and passionate about using data and analytics to solve key social problems in Africa and
increase your impact, read on!
Mastercard Foundation seeks a world where everyone has the opportunity to learn and prosper.
Through its Young Africa Works strategy and Canadian EleV program, the Foundation works with partners to ensure
that millions of young people, especially young women, access quality education, financial services and dignified
work. Mastercard Foundation was established in 2006 through the generosity of Mastercard when it became a public company.
The Foundation is independent with its own Board of Directors and CEO.
To apply for this job please visit boards.greenhouse.io.