Manager, Data Science – Product Analytics

🕒 Fevereiro 19

🌵 Arizona, California, +25 estados a mais – Remoto

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $132.439 - $192.799 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

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Wikimedia Foundation

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2003

🤝 Sem Fins Lucrativos

📚 Educação

📱 Mídia

💰 $2.500.000 Grant em 2019-09

Non-profit • Education • Media

Sobre a Fundação Wikimedia

Descrição

• Timely delivery of accurate quantitative data and insights to inform strategy, guide product decisions, and assess the impact of product development work – balancing the need to operate in a fast-changing environment with appropriate rigor. • People management for a team of roughly seven data scientists and nurturing a strongly collaborative and inclusive culture of trust, excellence, and empowerment. • Mentoring team members on critical thinking, data-informed storytelling, technical skillset, and stakeholder partnership. • Partnering with the Experiment Platform & Data Engineering teams to build and maintain data products that make data and insights accessible. • Collaborating with product teams – especially product managers – and colleagues in the Research & Decision Science group to cultivate a practice of data-informed product development and decision making. • Continuous development and improvement of experimentation and measurement best practices, product health metrics, visualizations, and reports for easier interpretation and increased accessibility.

🎯 Requisitos

• Deep experience with experimental design and statistics, applied to internet-scale audience or user experience data. • Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features. • Prior experience as a people manager. • Demonstrated commitment to equity, inclusion, and diversity. • Experience with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark).

🏖️ Benefícios

• Health insurance • 401(k) plan • Flexible work hours • Paid time off • Remote work options