We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 6,500 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
When applying for one of our positions, you’re agreeing to the use of AI in the early phases of the selection process, where your profile will be evaluated by our virtual assistant. For more information, access our opportunities’ page.
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 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
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
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 AWS services (SageMaker, Lambda, S3, etc.)
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
If you like it, just apply and good luck!
Our benefits include:
- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations
And many others.
Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.