Senior Data Scientist

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🕒 July 6

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Onfly

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏗️ Construction

🏢 Enterprise

Construction • Enterprise

Onfly is a platform-agnostic BIM (Building Information Modeling) content management solution designed for the AEC (Architecture, Engineering, and Construction) industry. It facilitates the management, sharing, and updating of project content and data, allowing teams to work more efficiently and effectively. Onfly provides tools that empower stakeholders to enhance project delivery and collaboration across various platforms.

📋 Description

• 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

• 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

• 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