- Company: Get A Job.ai
- Location: Brazil
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
Our talent team is representing a confidential fintech organization seeking a Senior Data Scientist to join their fraud detection and prevention team in Brazil. This role offers the opportunity to work on sophisticated machine learning models that protect financial systems and contribute to product development in a high-impact domain.
Responsibilities
- Analyze client data and develop machine learning models for fraud detection, including data cleaning, preprocessing, feature engineering, and model tuning
- Build and maintain scalable data pipelines using tools such as Airflow and Trino to support production models
- Collaborate with product and research teams to align technical solutions with business objectives
- Provide technical leadership on data science projects, driving execution from concept through deployment
- Work directly with clients and stakeholders to understand requirements and ensure successful implementation
- Communicate complex analytical findings and strategies to both technical and non-technical audiences
- Stay current with fraud prevention trends and contribute to generalized product enhancements
- Develop prototypes and contribute to solution development that can scale across the platform
What We're Looking For
- Strong proficiency in Python, including scientific libraries such as NumPy, Pandas, SciPy, and scikit-learn
- Expertise in machine learning concepts, algorithms, and their practical application
- Experience with distributed computing tools like PySpark for handling large-scale data
- Proven ability in data cleaning, feature engineering, and building production-ready data pipelines
- Excellent verbal and written communication skills with the ability to explain complex technical concepts to diverse audiences
- Strong analytical and problem-solving skills, particularly in tackling complex financial crime challenges
- Degree in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or related discipline
- Experience working with client-facing roles and translating business needs into technical solutions
How We Work With You
Candidates apply directly through Get A Job.ai. Our recruiting team will screen your application and conduct an initial interview to understand your background and career goals. If there's a strong match, we'll submit your profile to our client for consideration. Please do not attempt to contact the client directly, as all communication should flow through our team to ensure a smooth process for everyone involved.
Pay
Compensation details will be discussed during the screening process based on experience and qualifications.
Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices and works with clients who value diverse perspectives and backgrounds.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Senior Data Scientist
- Employer Get A Job.ai
- Location Brazil
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 1, 2026
- Apply by October 2, 2026
- Country Brazil
- Overview Full job description on this page (381 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Scientist
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
Limited public data for this employer
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Occupation family: Data Scientist
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