Description
Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Data Scientist I Application Deadline: September 27, 2024Mastercard's Data Science team is responsible for data research and development, designing and building prototypes to support various product development and innovation. As a Data Science team member, you will support our team in delivering development of advanced technologies and data-driven applications that protect digital transactions for our clients. Your experience will enhance both your technical and business skills that contribute to the company's goals and objectives.
While specific responsibilities will vary, you will have exciting and challenging opportunities to:
Analyze complex and high-volume data. Identify key regularities, patterns and trends.
Prototype and develop algorithms/machine learning models.
Spot new opportunities in data collection, feature creation, feature selection, model tuning and evaluation practices. Take those ideas from first concepts to live product integrations.
Innovate on product ideas to solve new business use-cases.
Leverage new research in data modelling to identify opportunities, pioneering algorithms and systems that become key commercial products.
Help maintain model development pipelines, libraries and machine learning infrastructure.
Define performance key indicators and implement effective monitoring and benchmarking for algorithm/model comparison.
Access to networking and mentorship from senior leads
Participate in volunteer and team building.
All About You:
Currently enrolled in a bachelor's degree program majoring in data science, statistics/mathematics, computer science, or quantitative science like physics, economic or engineering.
Have interest in practical applications of insights gathered from data, performing data analytics/data science to solve real business problems.
A strong problem solver with critical thinking skills who can formulate a problem into solution.
Exposure to algorithm, data structures and core data science/data analysis concepts.
Experienced working with large data sets.
Statistically adept. You have the depth of knowledge required to identify appropriate techniques and validate solutions.
Knowledge of coding languages and machine learning tools. Python preferred.
Capable of writing SQL queries to process data. Proficient with manipulating and analyzing data to gain meaningful insights using tools such as Pandas for Python.
Knowledge of cloud service (i.e. AWS. Google Cloud etc.) is an asset.
An effective communicator in visual, verbal and spoken channels, able to identify a narrative in complex data and convey clear, actionable findings to different types of audiences.
It also helps if you are:
Collaborative. We do our best work as a team, which means sharing, being open to giving and receiving support and constructive input.
Evidence-based. We work to eliminate assumptions and test our hypotheses, and we value rigour.
Responsible. We offer the opportunity to drive major projects that protect consumers every day, internationally. We are looking for colleagues who care about that.
Motivated. We're a team of data scientists with personal and collaborative side projects, and we're looking for someone who shares our enthusiasm.
Innovative. Data Science is a continuously growing field. We like our team to keep pushing for new ideas and methods. We are looking for someone who is creative and not just always satisfied with the status quo.
Start Date: August 2025 (Non Negotiable)
Expected graduation date of Spring 2025
Application Deadline: September 27, 2024 Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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.
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