Senior Data Scientist

🕒 February 18

🇺🇸 United States – Remote

💵 $160k - $208k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Button

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

☁️ SaaS

🛍️ eCommerce

🤝 B2B

SaaS • eCommerce • B2B

Button is a B2B SaaS platform that optimizes mobile commerce by routing users to the highest-converting destination using AI-driven smart routing and deep-linking. It helps retailers, publishers, advertisers and creators stack affiliate, retail media, and seller budgets on a single platform, drive in-app conversions, and provide privacy-safe, deterministic attribution and performance analytics. Button integrates with mobile measurement partners (MMPs) and offers plug-and-play solutions to increase revenue per tap, app engagement, and publisher monetization.

📋 Description

• Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization • Own A/B testing strategy and causal measurement for product features and partner performance • Partner with engineers to productionize models and integrate them into live systems • Build analyses, dashboards, and tools that inform product strategy and customer outcomes • Define metrics and success criteria for new initiatives • Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations • Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack • Raise the bar for statistical rigor and experimentation across the company

🎯 Requirements

• 5+ years applying statistics or machine learning in production environments • Deep understanding of experimentation, causal inference, and Bayesian or frequentist methods • 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy • Strong Python skills • Strong SQL proficiency and proven track record working with large scale datasets • Experience with AWS, distributed systems, and high volume data pipelines • Experience deploying and maintaining models in production • Solid foundation in linear algebra, optimization, and model evaluation • Experience with AI/ML operations & tooling: understanding of API rate limiting, inference workload patterns, accelerator management

🏖️ Benefits

• Unlimited time off (including birthdays off) • Periodic Mental Health Weeks • 401(k) plan with 3% company contribution • 100% premiums covered for health, vision, and dental insurance for employees • 75% premiums covered for dependents • Complimentary memberships to One Medical • Monthly stipend for mobile phone/internet • Annual lifestyle stipend • 'All Access' memberships to WeWork in select markets • Regular coworking days and social events