Senior Data Scientist

🕒 Maio 12

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Oscilar

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

💳 Fintech

🏦 Bancário

📋 Conformidade

Fintech • Banking • Compliance

Oscilar é uma plataforma de gestão de risco focada em defesa contra fraudes, underwriting de crédito, risco de onboarding e conformidade de PLD/FT (AML) para instituições financeiras. Com seu avançado AI Risk Decisioning™, a Oscilar permite que as organizações tomem decisões de risco mais rápidas e inteligentes, monitorem as jornadas dos clientes e garantam a conformidade regulatória de forma integrada. A plataforma da Oscilar oferece analytics abrangentes e capacidades de detecção proativa, personalizadas para atender às necessidades únicas de risco de bancos, fintechs e cooperativas de crédito.

Descrição

• Develop and implement advanced fraud detection models, leveraging machine learning and statistical techniques, to identify and prevent fraudulent activities across our platform. • Collaborate with cross-functional teams, including engineering, product, and operations, to design and implement fraud detection systems and processes. • Analyze large volumes of data to identify patterns, trends, and anomalies indicative of fraudulent behavior, and develop data-driven insights to improve fraud prevention strategies. • Evaluate the performance of existing fraud detection models and systems, and continuously optimize and update them to adapt to changing fraud trends and tactics. • Stay up-to-date with the latest trends and advancements in fraud detection, data science, and machine learning, and apply this knowledge to enhance our fraud prevention capabilities. • Communicate complex data analysis and model performance results to both technical and non-technical stakeholders, driving data-driven decision-making across the organization. • Ensure data privacy and security compliance in all aspects of fraud detection and data analysis.

🎯 Requisitos

• 3+ years of experience in data science, machine learning, or a related field, with a focus on fraud prevention and/or anti-money laundering. • Proficiency in Python. • Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus. • Strong knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection. • Experience working with large datasets using distributed systems like Apache Spark and Dask, handling data-related challenges such as data cleaning, data quality, and data transformation and feature engineering at scale. • Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data. • Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences. • Ability to work independently and collaboratively in a fast-paced, dynamic startup environment.

🏖️ Benefícios

• Competitive salary and equity packages, including a 401k • Remote-first culture — work from anywhere • 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US) • Unlimited PTO policy • AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product • Family-Friendly environment; Regular team events and offsites • Unparalleled learning and professional development opportunities • Making the internet safer by protecting online transactions