

TechnoSphere, Inc.
Risk Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Risk Data Scientist with a 6-month contract, offering a competitive pay rate. Candidates must have a Bachelor's degree, 2+ years in Fintech risk analytics, proficiency in SQL and Python, and experience with data visualization tools like Tableau.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
Unknown
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ποΈ - Date
October 23, 2025
π - Duration
Unknown
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ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
San Jose, CA
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π§ - Skills detailed
#Data Mining #Python #Datasets #SQL (Structured Query Language) #Tableau #Computer Science #Visualization #Statistics #Mathematics #Data Analysis #AWS (Amazon Web Services) #Libraries #Data Science
Role description
MUST HAVE:
β’ Bachelorβs degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
β’ Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry.
β’ Experience using statistics and data science to solve complex business problems.
β’ Proficiency in SQL, Python, Excel including key data science libraries.
β’ Experience working with large datasets.
β’ Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.
β’ Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
β’ Experience with AWS, payment rule systems, and knowledge of credit products.
MUST HAVE:
β’ Bachelorβs degree in computer science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience.
β’ Minimum 2 years of experience in risk analytics, data analysis, or data science within the Fintech or online payments industry.
β’ Experience using statistics and data science to solve complex business problems.
β’ Proficiency in SQL, Python, Excel including key data science libraries.
β’ Experience working with large datasets.
β’ Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.
β’ Desirable to have experience or aptitude solving problems related to risk using data science and analytics.
β’ Experience with AWS, payment rule systems, and knowledge of credit products.






