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Senior Data Scientist
OnflySenior 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.
Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in developing and operationalizing machine learning models, particularly in recommendation systems and user behavior analysis, while effectively translating business problems into measurable statistical solutions. Proficient in managing data pipelines and ensuring model performance and governance within a collaborative data science environment.
ATS Keywords
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Tech Stack
Tools & technologiesAbout 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