Data Scientist

Job not on LinkedIn

🕒 April 22

🗽 New York – Remote

🗽 New York – Remote

💵 $180k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Junction

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

📚 Education

🤝 Non-profit

Education • Non-profit

Junction is a non-profit organization that runs large-scale, world-class hackathons and developer events focused on AI and technology innovation. It organizes flagship gatherings (like Junction 2025 in Espoo, Finland) that bring together engineers, designers, and business builders for intensive project-based learning, networking, and competitions with partner companies and prize pools. Junction also supports its community through pre-events, grants, volunteer programs, jobs, and online channels to connect participants and industry partners.

📋 Description

• Own the research and modeling work underlying Junction’s highest-priority data science opportunities across diagnostics, clinical workflows, and AI-enabled product features • Define rigorous frameworks for measurement, experimentation, and causal evaluation so we can distinguish signal from noise and make decisions we can defend • Lead development of predictive models, segmentation approaches, risk or routing logic, and other statistical systems that directly inform product and business strategy • Build the analytical foundation behind customer-facing features — from model development through to validation and performance tracking • Partner with engineering and data engineering to ensure models and analytical systems can be put in production, are reliable, and useful in real workflows • Establish how Junction evaluates data-driven and AI-enabled features, including methodology, quality thresholds, monitoring, and performance review • Communicate complex technical findings clearly to technical and non-technical stakeholders, including tradeoffs, limitations, and implications for action

🎯 Requirements

• Strong track record of leading high-stakes analytical work that influenced product, operational, or business decisions • Deep foundation in statistical inference, experimental design, observational analysis, and model evaluation • Strong Python and/or R skills, with experience working on large, messy real-world datasets • Experience building predictive or decision-support models in production or near-production environments • Experience partnering closely with engineering to move work from analysis or prototype into deployed systems • Ability to operate at both strategic and hands-on levels: defining the roadmap while also getting into the details when needed • Strong communication and stakeholder management skills; able to explain methods, findings, and tradeoffs to executives as well as technical peers • Comfort operating in a startup environment with ambiguity, limited structure, and high ownership

🏖️ Benefits

• Generous early stage options (extended exercise post 2 years employment) • Regular in-person offsites, last were in Tenerife and Miami • Monthly learning budget of $300 for personal development and productivity • Flexible, remote-first working - including $1K for home office equipment • Monthly budget of $150 to use towards a coworking space • 25 days off a year + national holidays • Healthcare coverage depending on location