Swayable
1-10 employees
marketing-and-advertising
advertising
analytics
big-data
brand-marketing
cause-marketing
communities
computer-software
crowdsourcing
data-visualization
digital-media
enterprise-software
enterprises
information-technology
internet
marketing
predictive-analytics
services
research
technology
data-analysis
insights
About Swayable
Swayable partners with the world's leading advocacy organizations and campaigns to change minds. We are hiring in data science, full stack engineering, data visualization, design, and operations. We welcome unsolicited CVs from anyone, and especially encourage women and people from under-represented groups to talk to us.
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Description
- Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it.
- The role involves developing software that powers AI and machine learning analytics, working with a tech stack including Python, JavaScript, MongoDB, and GraphQL.
- The engineer will build, maintain, and improve tools for high-performance computing, collaborate with a team of engineers and data scientists, and contribute to innovative solutions in data visualization and science.
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Requirements
- You have 5+ years of professional experience building scientific or quantitative data-intensive software.
- You have expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning.
- You have excellent problem solving skills and attention to detail.
- You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
- You keep up with the constantly evolving toolset for ML and AI Ops.
- You are knowledgeable about software architecture and can design scalable, performant solutions.
- You value code quality and write maintainable, testable code.
- You have an advanced degree (MSc or Ph.D.) in STEM (preferred).
- You have a thorough knowledge of the Linux operating system (preferred).
- You have experience with Celery and MongoDB (preferred).
- You believe in the scientific method and use data to drive decisions (preferred).
- You are experienced at mentoring junior engineers (preferred).
- You are a strong communicator, especially in text, and can write documentation (preferred).
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Benefits
- Competitive salary in the range of $175,000 to $250,000.
- Opportunities to work remotely or in NYC.
- Collaborative environment with a focus on innovation in AI and data science.
- Possibility to contribute to impactful projects that influence public opinion and democracy.
- Work with a talented, diverse team of engineers, data scientists, and researchers.