Lead Data Scientist

🔥 20 horas atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $210.000 - $240.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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AppOmni

SiteLinkedInTodas as Vagas

51 - 200 funcionários

☁️ SaaS

🔒 Cibersegurança

🏢 Corporativo

💰 Series C em 2022-12

SaaS • Cybersecurity • Enterprise

A AppOmni é uma empresa que se especializa em soluções de segurança SaaS, focando em ajudar organizações a proteger seus ecossistemas de software como serviço (SaaS). Eles oferecem uma plataforma que proporciona uma inspeção aprofundada de postura, detecção de ameaças e gestão de conformidade para aplicações SaaS. A AppOmni atende a diversas indústrias, incluindo saúde, serviços financeiros e ciências da vida, identificando riscos de exposição de dados, detectando ameaças e protegendo aplicativos conectados. Suas soluções são desenhadas para empresas globalmente e incluem funcionalidades como avaliação de risco de SaaS, gestão de postura e estratégias de segurança de confiança zero.

Descrição

• Design and implement scalable batch and real-time data processing systems across large and complex datasets. • Build and optimize ETL and streaming data pipelines using modern GCP big data technologies. • Lead development decisions around model choices, data architecture, data modeling, pipeline orchestration, analytics infrastructure, and production systems. • Develop statistical models and analytics capabilities that support product intelligence and operational insights. • Design and maintain production-grade data workflows using technologies such as Airflow, Dataflow, PubSub, and PySpark. • Contribute across multiple areas of the data ecosystem, including data engineering, monitoring and governance, visualization, and analytics tooling. • Establish monitoring, observability, and governance practices for data quality, pipeline reliability, and production health. • Partner closely with Engineering to operationalize scalable data infrastructure and analytics systems. • Collaborate with Product to shape intelligent, data-driven product capabilities and user experiences. • Act as a technical leader and thought partner across data engineering, analytics, infrastructure, and applied modeling initiatives. • Help evolve internal tooling and frameworks that improve scalability, reliability, and operational efficiency across the platform.

🎯 Requisitos

• 7–10+ years of experience as a Data Scientist, Applied Scientist, Data Engineer, or Machine Learning Engineer, with ownership of production systems. • Strong experience building and operating large-scale data pipelines and distributed data processing systems. • Hands-on experience within the GCP ecosystem, particularly big data services such as Dataproc, Dataflow, PubSub, and related storage and data lake technologies. • Strong proficiency in Python, PySpark, and modern data processing frameworks. • Experience working across multiple disciplines of the data stack, including data engineering, analytics, infrastructure, monitoring/governance, APIs, and visualization. • Experience with real-time or streaming systems and orchestration frameworks such as Airflow and Apache Beam/Dataflow. • Strong foundation in statistical modeling, analytics, and applied data science techniques. • Experience designing and maintaining scalable ETL workflows and production data infrastructure. • Familiarity with monitoring, observability, governance, and reliability practices for production data systems. • Ability to thrive in highly cross-functional environments and contribute across a wide range of technical challenges. • Demonstrated versatility — a background that spans multiple types of data applications, infrastructure, and analytics work is highly valued. • Experience partnering closely with Product and Engineering to deliver customer-facing capabilities. • Strong written and verbal communication skills. • Nice-to-have: Experience with Databricks.

🏖️ Benefícios

• Base Salary: The annual base salary compensation range in the U.S. for this role is: $210,000 - $240,000 USD. Higher compensation may be available for candidates in higher cost of living markets. Final offer amounts are determined by factors such as the final candidate’s skills, qualifications, and experience, as well as business considerations and peer compensation. • Stock Options: Our vision is to not just grow as a company but to grow together. By offering stock options, we are inviting you to be an integral part of our journey forward. • Benefits: Generous paid time off, paid company holidays, paid floating holidays, paid parental leave, paid sick time and paid family leave for applicable states, health insurance - medical, dental, and vision with HSA option, LifeWorks Employee Assistance Program, company-provided life insurance, AD&D, STD/LTD and additional supplemental life insurance options, 401(k) and Roth retirement saving accounts, and a monthly wellness benefit reimbursement. All benefits are subject to eligibility requirements and plan details.