[Job 20798 ] Senior Data Scientist, Brazil

Company Overview

CI&T is a global technology services provider helping businesses accelerate their digital transformation. With expertise across various industries and technologies, we partner with our clients to deliver innovative solutions that drive business growth and operational excellence. We are currently seeking talent to support our client in the mortgage technology space who is revolutionizing the industry through AI/ML solutions.

Role Overview

CI&T is seeking an experienced Data Scientist to join our nearshore team working on a project for our client in the mortgage technology sector. In this role, you will focus on analyzing patterns in third-party API usage and developing algorithms to optimize the sequence and decision-making around these API calls. You will work with expensive verification services ($100s per call) to create intelligent "waterfall" strategies that minimize unnecessary calls while maintaining effective verification processes. Your work will directly impact cost efficiency and processing speed for mortgage verification workflows.

Key Responsibilities

Analyze historical patterns of third-party API usage in verification processes (income, employment, assets)

Develop statistical models and algorithms to optimize the sequence and necessity of API calls

Create intelligent "waterfall" strategies that minimize expensive API calls while maintaining verification quality

Build predictive models to determine when certain verification services are likely to provide value vs. cost

Design algorithms that can make real-time decisions on which verification services to call based on available data

Quantify and track cost savings achieved through API call optimization

Collaborate with engineers to implement your models and algorithms into production systems

Develop metrics and KPIs to measure efficiency gains and cost savings

Work with business stakeholders to understand verification requirements and translate them into optimization strategies

Research and implement machine learning techniques to improve decision-making around third-party service utilization

Required Qualifications

Master's degree or higher in Data Science, Statistics, Mathematics, Computer Science, or related field

Solid experience in data science or machine learning roles

Experience with optimization algorithms and decision tree-based approaches

Proven track record of cost optimization through data analysis

Experience analyzing API usage patterns and creating efficient workflows

Strong knowledge of statistical analysis, probability, and experimental design

Experience with AWS services (SageMaker, Lambda, S3, etc.)

Advanced or fluent English communication skills (both written and verbal) are essential for collaboration in a remote environment

Preferred Qualifications

Experience with optimization problems, particularly cost or resource optimization

Knowledge of decision theory and sequential decision-making

Familiarity with financial service verification processes or systems

Background in operations research or similar analytical field

Programming skills in Python and experience with ML libraries (scikit-learn, TensorFlow, PyTorch)

Experience with A/B testing and experimental design

Knowledge of data ethics and privacy considerations in handling sensitive data

Prior experience working with international teams

Understanding of how to balance business rules with cost optimization

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