Senior Data Scientist – Fraud Prevention

Job not on LinkedIn

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ASAAS

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

ASAAS is a leading producer of 360° virtual tours in virtual reality. The company specializes in creating customized virtual tours, utilizing advanced technologies, including 360° video, drone technology, and interactive features, to enhance business visibility and engagement. With a commitment to quality and customer satisfaction, ASAAS offers immersive experiences for various industries, including schools, hotels, museums, and healthcare facilities, and aims to elevate online presence through innovative virtual solutions.

📋 Description

• Lead end-to-end Data Science projects, from defining the problem with Product and Operations to delivering solutions to production • Track business impact and continuously improve solutions • Design, implement, and maintain production Machine Learning pipelines, both batch and online • Ensure reliability, scalability, and maintainability in high-volume, low-latency environments • Manage the model lifecycle: experimentation, validation, deployment, monitoring, and iteration • Define metrics and monitoring routines for data drift and concept drift • Develop and enhance batch and real-time inference systems • Work with architectural trade-offs involving parallelization, concurrency, and low latency • Optimize latency, throughput, and computational resource usage • Establish and improve MLOps practices, including infrastructure, deployment, observability, version control, automation, and continuous monitoring • Partner with Engineering Tech Leaders and Product Managers to design solutions and enable production deliveries • Stay up to date with Data Science best practices and AI-assisted development tools

🎯 Requirements

• Strong command of classic Machine Learning algorithms for classification and regression, including XGBoost, LightGBM, and Random Forest • Experience productionizing and maintaining live and batch Machine Learning models • Experience with live models delivered through APIs, high concurrency, and low latency • Experience managing and monitoring models in production • Proficiency with frameworks such as MLflow • Proficiency in SQL, Python, and Spark for analyzing large datasets • Knowledge of statistical inference and practical experience applying A/B tests • Familiarity with structured development and code version control using Git • Ability to communicate technical results and translate statistical metrics into business impact • Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, Statistics, Mathematics, Physics, or a related field • Preferred qualifications: experience with Databricks, fintech companies, the payments market or financial institutions, fraud prevention, financial fraud metrics, Kafka, Kinesis, Graph Data Science, graph databases, and AWS

🏖️ Benefits

• Medical and dental insurance with no copay • Life insurance • Prescription medication assistance • Fitness benefit • Four free therapy or nutritionist sessions per month through Zenklub • Quick massage at headquarters • Flexible food allowance on a Visa card • Complimentary food at headquarters • Childcare assistance • Parental support program • Extended maternity and paternity leave • In-house training platform • Education assistance covering 70% of tuition for undergraduate degrees and language courses, as well as courses and books • Home office allowance • Work equipment • Home office furniture allowance • Partnership with WOBA for coworking access throughout Brazil • Birthday-month day off • Happy hour allowance • Referral bonus for new hires • Annual performance-based bonus • Stock option plan • No dress code