Manager, Data Science – Product Analytics

🕒 February 19

🌵 Arizona, California, +25 more states – Remote

🌵 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

💵 $132.4k - $192.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Wikimedia Foundation

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2003

🤝 Non-profit

📚 Education

📱 Media

💰 $2.5M Grant on 2019-09

Non-profit • Education • Media

Wikimedia Foundation is a nonprofit charitable organization dedicated to the growth, development, and distribution of free, multilingual content. It provides the essential infrastructure for free knowledge, including hosting Wikipedia, the free online encyclopedia that is created, edited, and verified by a global community of volunteers. Supported primarily through donations, Wikimedia Foundation promotes collaborative projects that aim to share knowledge reflecting human diversity and strives to protect everyone's right to access free and open knowledge.

📋 Description

• 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.

🎯 Requirements

• 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).

🏖️ Benefits

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