[Job 20798 ] Senior Data Scientist, Brazil

CI&T
Brasil
BRL 80.000 - 150.000
Descrição da oferta de emprego

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.

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

  1. Analyze historical patterns of third-party API usage in verification processes (income, employment, assets)
  2. Develop statistical models and algorithms to optimize the sequence and necessity of API calls
  3. Create intelligent "waterfall" strategies that minimize expensive API calls while maintaining verification quality
  4. Build predictive models to determine when certain verification services are likely to provide value vs. cost
  5. Design algorithms that can make real-time decisions on which verification services to call based on available data
  6. Quantify and track cost savings achieved through API call optimization
  7. Collaborate with engineers to implement your models and algorithms into production systems
  8. Develop metrics and KPIs to measure efficiency gains and cost savings
  9. Work with business stakeholders to understand verification requirements and translate them into optimization strategies
  10. Research and implement machine learning techniques to improve decision-making around third-party service utilization

Required Qualifications

  1. Master's degree or higher in Data Science, Statistics, Mathematics, Computer Science, or related field
  2. Solid experience in data science or machine learning roles
  3. Experience with optimization algorithms and decision tree-based approaches
  4. Proven track record of cost optimization through data analysis
  5. Experience analyzing API usage patterns and creating efficient workflows
  6. Strong knowledge of statistical analysis, probability, and experimental design
  7. Experience with AWS services (SageMaker, Lambda, S3, etc.)
  8. Advanced or fluent English communication skills (both written and verbal) are essential for collaboration in a remote environment

Preferred Qualifications

  1. Experience with optimization problems, particularly cost or resource optimization
  2. Knowledge of decision theory and sequential decision-making
  3. Familiarity with financial service verification processes or systems
  4. Background in operations research or similar analytical field
  5. Programming skills in Python and experience with ML libraries (scikit-learn, TensorFlow, PyTorch)
  6. Experience with A/B testing and experimental design
  7. Knowledge of data ethics and privacy considerations in handling sensitive data
  8. Prior experience working with international teams
  9. Understanding of how to balance business rules with cost optimization

#LI-JP3

#Midsenior

Our benefits:

  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Wellhub (Gympass)
  • TotalPass
  • Profit-sharing (PLR)
  • Life insurance
  • CI&T University
  • Discount club
  • Free online platform dedicated to physical, mental, and overall well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language learning platform
  • And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

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.

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