Data Scientist II – Client Analysis

🕒 Abril 28

🏄 California, District of Columbia, +3 estados a mais – Remoto

🏄 California – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $130.000 - $150.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

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Socure

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2012

🤖 Inteligência Artificial

🔐 Segurança

💸 Finanças

💰 $450.000.000 Series E em 2021-11

Artificial Intelligence • Security • Finance

Socure é um fornecedor líder de soluções de verificação de identidade e prevenção de fraude baseadas em IA. Sua plataforma, conhecida como RiskOS™, permite que organizações tomem decisões confiáveis em relação à identidade e risco, permitindo a integração e gestão contínua de clientes em vários pontos de contato. Com verificações de identidade precisas e em tempo real realizadas em mais de 190 países, a Socure ajuda a combater fraudes de identidade, garantindo conformidade e melhorando a experiência do cliente.

Descrição

• Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies • Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective • Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically • Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product • Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis • Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Account Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization • Build ML models when it is advantageous to explore different approaches over the established models in production

🎯 Requisitos

• You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred. • You have 3+ years working experience in data science, data analysis, or analytics engineering • You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods • You know how to write clean, performant code in Python, and have 2+ years experience working with massive real-life datasets • You have experience querying relational databases with SQL • You have experience working with cloud tools and technologies in AWS, Azure, Databricks, or GCP • You know how to tell compelling stories with data (dashboarding, building interactive data stories and actionable presentations) • You are able to explain very complex algorithms such as ML/AI models, and analyses to non-technical audiences • You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages • You thrive in a remote startup work environment and are excellent at setting clear goals and holding yourself accountable • You have experience in identity verification and fraud prevention (strongly preferred)

🏖️ Benefícios

• Offers Equity • Offers Bonus