Mastercard
FinTech
DataScientist2-2
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist 2-2 at Mastercard. Skills: Data Science, Machine Learning, Predictive models, Decisioning models. Work with large, complex datasets. Uncover insights”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
3–5 years of experience in data science / machine learning, Foundation in statistical modeling and applied machine learning, Python skills with libraries such as pandas, NumPy, SciPy, and ML frameworks, Competence in code quality, version control, and writing efficient, maintainable pipelines, SQL skills and familiarity data lake systems, Writing and communication can explain analysis and recommendations clearly to varied stakeholders, Demonstrated ability to work collaboratively across product, engineering, and analytics partners
Nice to Have
Experience with financial transactional data, Experience with productionization patterns and tooling, Familiarity with common ML frameworks and libraries, Finance / FinTech domain exposure
What You'll Do.
Build predictive models
Build decisioning models
Apply statistical techniques
Apply analytical techniques
Create actionable insights
Create robust model baselines
Develop machine learning approaches
Develop deep learning approaches
Design models for financial applications
Build models for financial applications
Maintain models for financial applications
Measure model performance
Validate model performance
Monitor model performance
Improve model performance
Implement feedback loops
Build scalable solutions
Communicate technical problems
Communicate trade-offs
Propose practical solutions
Propose creative solutions
Identify gaps in tooling
Identify gaps in process
Identify gaps in resources
Recommend sustainable improvements
How You'll Work.
Team & Collaboration
Across product; Across engineering; Across analytics partners
Communication Scope
Explain analysis; Explain recommendations
Full Job Description
**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 Scientist 2-2 ### Job Description: Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Senior Data Scientist. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepre
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