Senior Data Scientist

Onfly

Senior Data Scientist developing machine learning models directly applicable to the product within a Travel Tech company. Collaborating with engineering teams and enhancing data science practices for corporate travel solutions.

Posted 7/6/2026full-timeBelo Horizonte • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

BigQueryNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Develop machine learning models directly applied to the product, with a primary focus on recommendation, personalization and user behavior models.
Translate business problems into tangible, measurable statistical solutions by defining hypotheses, metrics, collection strategy, validation and rollout.
Work with structured and semi-structured data from Onfly’s data ecosystem, including BigQuery, microservices, event streams and tactical data stores.
Collaborate with Engineering and DataOps on integrating models into the analytical and transactional ecosystem, ensuring technical requirements for performance, reliability and governance (latency, frequency, criticality, observability and cost).
Run experiments and validations in a real environment (A/B tests, uplift metrics, product impact).
Evolve the company’s data science stack, influencing best practices, versioning, monitoring and governance.
Be a technical reference within the data science chapter, supporting discussions on architecture, feature store and consumption via microservices.
Develop and enhance predictive and prescriptive models applied to the product, expanding the embedded intelligence in Onfly’s ecosystem.

Requirements

What you’ll need

Bachelor’s degree or postgraduate degree in Data Science, AI or related fields.
Solid experience building and operationalizing machine learning models in production.
Proficiency in Python for data science (pandas, numpy, scikit-learn, XGBoost, LightGBM).
Experience with deep learning and recommender systems (PyTorch or TensorFlow).
Ability to work with BigQuery or large-scale analytical data warehouses.
Strong foundation in applied statistics, experimentation and impact measurement.
Practical experience with product-oriented data pipelines (batch and/or near real-time).
Knowledge of model versioning and monitoring.
Intermediate English for technical reading and updates.
Nice to have: Master’s or PhD in Data Science.

Benefits

Comp & perks

Meal allowance on a flexible card — R$ 40 (no 6% deduction)
Transportation allowance on a flexible card (no 6% deduction)
Unimed health plan — no co-payment and no monthly fee for the Onflyer (covered by the company 😄)
Dental plan (discounted monthly fee)
Pharmacy discounts
Online psychotherapy — Vittude
Gympass and TotalPass
90% scholarship for language courses
Discounts on undergraduate and postgraduate programs (UNA, UNIBH and Anhanguera)
Funeral assistance from Grupo Zelo
Extended maternity/paternity leave
R$200 voucher on Onhappy — our leisure travel platform
Life insurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningStatistical AnalysisData Pipeline DevelopmentModel VersioningExperimentationPredictive ModelingPrescriptive ModelingData Ecosystem ManagementA/B TestingImpact Measurement

Certifications

Bachelor’s Degree in Data SciencePostgraduate Degree in Data ScienceMaster’s or PhD in Data Science (Nice to Have)