Data Scientist (Mid-level) – Fraud Prevention

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🔥 35 minutes ago

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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 problem definition with Product/Operations to production delivery, tracking business impact and continuous improvements • Design, implement, and maintain machine learning pipelines in production, both batch and online • Manage the model lifecycle, including experimentation, validation, deployment, monitoring, iteration, metrics, data drift and concept drift • Develop and evolve batch and real-time inference systems, considering parallelization, concurrency, and low latency • Optimize latency, throughput and computational resource usage in production solutions • Establish MLOps best practices, including infrastructure, deployment, observability, versioning, automation and continuous monitoring • Collaborate with Engineering Tech Leads and Product Managers to design solutions, align expectations, communicate results and enable deliveries • Stay up to date on data science best practices and AI-assisted development tools, proposing improvements

🎯 Requirements

• Strong knowledge of machine learning techniques and statistical modeling for business problems • Proven experience deploying machine learning models to production (online and batch) and keeping them operational • Proficiency in SQL, Python and Spark for large datasets • Familiarity with code versioning using Git • Solid experience with MLOps frameworks, especially MLflow • Strong knowledge of statistics, statistical inference and hypothesis testing (A/B testing) • Bachelor's degree or equivalent practical experience in Computer Science, Engineering, Statistics, Mathematics, Physics and/or related fields • Nice-to-haves: experience with Databricks, financial fraud prevention, fraud metrics, Kafka, Kinesis, fintechs, AWS, graph data science, Neo4j or AWS Neptune • Availability for an 8-hour workday, Monday to Friday • CLT employment (Brazilian formal employment contract)

🏖️ Benefits

• Medical and dental insurance with no co-pay • Life insurance • Medication assistance • Fitness subsidy • 4 free monthly sessions of therapy or nutrition counseling • Quick massage at headquarters • Flexible meal benefit loaded on a Visa card • Free meals at headquarters • Childcare assistance • Parental support program • Extended maternity and paternity leave • In-company training platform • Education assistance subsidizing 70% of tuition for degrees and language courses • Assistance for purchasing courses and books • Home office allowance • Work equipment provided • Furniture allowance • Partnership with WOBA for coworking access across Brazil • Birthday day off • Happy hour allowance • Referral bonus for new hires • Bonus based on annual targets • Stock options plan • No dress code