Data Scientist (Mid-level) – Fraud Prevention

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Oversee comprehensive Data Science projects, starting from problem identification in collaboration with Product and Operations through to production delivery, assessing business impact, and implementing ongoing enhancements.

• Create, execute, and oversee machine learning pipelines in a production environment, accommodating both batch and online processing.

• Administer the lifecycle of models, encompassing experimentation, validation, deployment, monitoring, iteration, metrics, data drift, and concept drift management.

• Innovate and refine batch and real-time inference systems, emphasizing parallelization, concurrency, and minimal latency.

• Enhance latency, throughput, and resource utilization within production solutions.

• Establish best practices for MLOps, which include infrastructure setup, deployment strategies, observability, version control, automation, and continuous monitoring.

• Partner with Engineering Tech Leads and Product Managers to devise solutions, synchronize expectations, convey outcomes, and facilitate deliveries.

• Keep abreast of data science best practices and AI-enhanced development tools, suggesting improvements where applicable.

⛳️ Requirements

• In-depth understanding of machine learning methodologies and statistical modeling applicable to business challenges.

• Demonstrated experience in deploying machine learning models into production (both online and batch) and maintaining their operational integrity.

• Expertise in SQL, Python, and Spark for handling large-scale datasets.

• Familiarity with version control systems, specifically Git.

• Substantial experience with MLOps frameworks, particularly MLflow.

• Strong foundation in statistics, statistical inference, and hypothesis testing (including A/B testing).

• Bachelor's degree or equivalent practical experience in fields such as Computer Science, Engineering, Statistics, Mathematics, Physics, or related disciplines.

• Additional assets: experience with Databricks, financial fraud prevention, fraud metrics, Kafka, Kinesis, fintech, AWS, graph data science, Neo4j, or AWS Neptune.

• Willingness to work an 8-hour day, Monday to Friday.

• CLT employment (formal work contract in Brazil).

🏝️ Benefits

• Comprehensive medical and dental insurance without co-pay.

• Life insurance coverage.

• Support for medication costs.

• Fitness subsidy available.

• Four complimentary monthly sessions for therapy or nutritional counseling.

• Quick massage services at the headquarters.

• Flexible meal benefit loaded onto a Visa card.

• Complimentary meals provided at headquarters.

• Childcare assistance offered.

• Parental support initiatives available.

• Extended maternity and paternity leave options.

• Access to an in-house training platform.

• Educational assistance covering 70% of tuition for degree programs and language courses.

• Support for purchasing educational courses and books.

• Home office allowance provided.

• Necessary work equipment supplied.

• Furniture allowance included.

• Partnership with WOBA for coworking space access throughout Brazil.

• Paid day off for birthdays.

• Happy hour allowance available.

• Referral bonuses for successful new hires.

• Performance-based bonuses linked to annual targets.

• Stock options plan included.

• No dress code policy in place.