Senior Data Scientist

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🕒 March 26

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Neon

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🤖 Artificial Intelligence

👥 B2C

Artificial Intelligence • B2C

Neon is a consumer mobile app that pays users for anonymized phone call data by recording (with consent) calls between Neon users, stripping personal identifiers, and selling the de-identified conversations to vetted data partners to help train more representative AI language models. The platform emphasizes user privacy and control, paying cash payouts to linked accounts and allowing users to earn passively from their normal phone usage while ensuring recordings are only shared when fully anonymized.

📋 Description

• Own end-to-end experimentation and analytical workflows that help the business learn fast and make confident decisions rooted in data. • Work closely with product, data engineering, and business stakeholders to start with customer and business goals, and work backwards to design the right experiments, features, metrics, and models. • Focus initially on optimizing our data pipeline for media data (audio and text) — helping improve throughput, quality, and utility of data as it flows through our systems. • Contribute to the evolution of our data infrastructure to support more advanced capabilities — including eventual creation of novel datasets and internal modeling workflows (e.g., for voice or multimodal data). • Design, analyze, and interpret experiments across tools/services/technologies to identify what works best — producing actionable insights that influence product direction, operations, and future research. • Translate complex analytical outcomes into clear business insights and product recommendations, occasionally contributing to broader thought leadership and research narratives.

🎯 Requirements

• Strong analytical background (e.g., statistics, experimentation, causal inference) with several years of real-world experience in data science or research-oriented roles. • Comfort operating independently and pragmatically in a startup environment, balancing speed and rigor. • Excellent communicator who can bridge technical and business audiences — asking the right questions, framing hypotheses, and presenting findings effectively. • Demonstrated ability to guide experimentation from design through interpretation, and connect results back to product and business levers. • Nice to Have • Experience with media-centric data (audio, video, text) and related tooling or models. • Familiarity with machine learning workflows, model evaluation, and production experimentation frameworks. • Additional experience with OOP languages, particularly JavaScript • Bonus points if you’ve worked closely with voice AI, speech, or related media AI labs or contributed to their research efforts.

🏖️ Benefits

• Competitive compensation with equity upside • Opportunity to shape direction of analytics and modeling at an early stage • A collaborative team environment and a fun, can-do attitude! :)