Senior Data Scientist

Vaga não está no LinkedIn

🕒 Junho 3

🏄 California – Remoto

🏄 California – Remote

💵 $143.000 - $175.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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ParentSquare

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2011

📚 Educação

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

ParentSquare é uma plataforma de comunicação unificada, aprimorada por IA, desenvolvida especificamente para escolas K–12 e distritos. Ela centraliza notificações em massa, mensagens de sala de aula e individuais, formulários e autorizações, ferramentas de presença, sites escolares, entrega segura de documentos, pagamentos e análises para otimizar o engajamento entre educadores, famílias e funcionários. A plataforma enfatiza tradução bidirecional, integrações SIS, privacidade de dados e fácil integração, e é oferecida como um serviço de software utilizado por distritos e escolas para melhorar o engajamento familiar e os fluxos de trabalho operacionais.

Descrição

• Partner with Teams: Work directly with departments like Finance, Customer Success, and Product to understand their data needs, be their thought partner and deliver impactful solutions. • Build and Deploy Solutions: Prototype and launch data-powered tools and automations, both for our customers and for the company. • Define and Track What Matters: Help teams establish meaningful success metrics and build data products that report to monitor them. • Balance Speed and Rigor: Recognize when to move fast with a pragmatic solution and when to invest in building the right system - and communicate those tradeoffs clearly to stakeholders. • Champion Data Adoption: Create clear documentation, lead training sessions, and act as the internal expert to help teams more effectively use data tools within their workflows. • Raise the Bar: Contribute to and evolve data science standards and practices across the team.

🎯 Requisitos

• Proven success working in a high-growth SaaS or technology company • 5+ years of experience in data science, analytics, or a closely related quantitative field • Bachelor's degree in Statistics, Mathematics, Computer Science, or equivalent practical experience • Fluency in Python and SQL; comfortable working across the full analytics stack • Experience with statistical methods and ML algorithms (regression, classification, clustering, gradient boosting, topic modeling, etc.) - and the judgment to know when to use them • Hands-on experience with modern data and analytics platforms (dbt, Snowflake, Redshift, Tableau, Omni, QuickSight, or similar) • Demonstrated ability to deliver across the full range - from a quick ad hoc pull to a company-wide dashboard • Excellent communication skills; proven ability to translate technical findings for non-technical audiences • Experience with LLMs and other AI tools for analytics is a bonus!

🏖️ Benefícios

• Employer-paid health insurance (including dependent coverage) • An employer-matched 401K retirement savings program from day 1 • Paid Parental Leave • Stock options • Health + wellness reimbursements • PTO that increases each year • 15 paid holidays, including your birthday! • Tools and equipment for home office setup