Associate Fraud Strategy Data Scientist
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Job Location:
San Jose, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
04-11-2025
Vacancies:
1 Vacancy
Job Summary
Associate Fraud Strategy Data Scientist
(Hybrid San Jose CA)
(12-Month Contract Potential to Extend U.S. Citizens or Authorized Workers Only)
Job Overview
Were seeking a highly analytical and motivated Associate Fraud Strategy Data Scientist to join a leading fintech organizations Fraud Risk Strategy team.
This role is perfect for an early-career data professional (02 years of experience) whos ready to apply data science and analytics to solve real-world fraud and risk challenges in eCommerce online payments and digital transactions.
Youll support the design testing and optimization of fraud detection models and rules working closely with product and engineering partners to enhance user trust reduce losses and protect our customers.
Key Responsibilities
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Analyze and model large complex datasets to detect prevent and mitigate fraud across multiple digital channels.
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Apply statistical and machine-learning techniques (regression classification feature engineering clustering) to identify fraudulent patterns and emerging risks.
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Develop and maintain SQL-based datasets dashboards and visualizations to monitor key performance indicators and strategy outcomes.
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Partner with senior data scientists analysts and risk strategists to implement and evaluate fraud detection models.
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Communicate analytical findings insights and recommendations clearly to technical and business stakeholders.
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Use Tableau or AWS Quicksight to design visual dashboards that support fraud strategy decisions.
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Conduct ad-hoc investigations and reporting to support ongoing fraud prevention initiatives.
Required Qualifications
Experience:
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Maximum of 2 years in risk analytics data analysis or data science ideally within eCommerce online payments user trust/risk/fraud or product-abuse investigations.
Education:
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Bachelors degree in Data Science Data Analytics Mathematics Statistics Data Mining or a related quantitative field; or equivalent hands-on experience.
Technical Skills:
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Strong SQL proficiency for querying and manipulating large datasets.
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Hands-on Python experience with data-science libraries (NumPy Pandas Scikit-learn etc.).
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Proficiency with Excel for exploratory and statistical analysis.
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Demonstrated experience applying statistics and data science to solve complex business problems preferably related to fraud detection or risk mitigation.
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Experience creating data visualizations and dashboards using Tableau or AWS Quicksight.
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Comfortable working with large-scale datasets in cloud or enterprise environments.
Preferred Skills
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Familiarity with fraud typologies payments data or rule-based detection systems.
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Understanding of data pipelines (ETL) predictive modeling and A/B testing.
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Excellent written and verbal communication skills with an ability to translate analytics into actionable business insights.
Position Details
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Type: 12-Month Contract (covering multiple employee leaves)
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Schedule: Monday - Friday Day Shift
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Location: Hybrid San Jose CA (local candidates only)
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Relocation Assistance: Not provided
Why Join
This role offers the opportunity to:
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Gain hands-on experience with fraud analytics and risk modeling at scale.
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Work alongside top data scientists and fraud strategists shaping digital trust and security.
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Develop advanced technical and analytical skills in a collaborative growth-oriented environment.
Key Skills
- Laboratory Experience
- ELISA
- Immunoassays
- Transfection
- Mammalian Cell Culture
- Suspension Experience
- Biochemistry
- Assays
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
