> Markdown version of [/jobs/ext/2715003-data-scientist-data-flywheel](https://www.wearedevelopers.com/jobs/ext/2715003-data-scientist-data-flywheel). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist, Data Flywheel - **Company:** DEEPGRAM, INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Large Language Models, Data Selection - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-data-scientist-data-flywheel-deepgram-9615435 ## About the Role * Hands-on work on real data pipelines and model-facing problems in data science, ML, or applied research * Strong Python and data tooling; comfort building analysis, scoring, and automation yourself * Experience with data characterization, data selection, active learning, or similar "what should we work on next" problems * Working familiarity with speech/audio or NLP models - you can reason about model output quality, confidence, and error modes * A track record of turning ambiguous, messy data situations into measurable model or product improvements * You build systems others run without you in the room - a reusable harness, not a one-off notebook * Strong communication skills, especially translating complex findings for audiences who don't share your background * An active AI-tool user. Not aspirational - tell us what you use and what you've built with it It would be great if you also had: * Direct experience with ASR/TTS, audio data, or multilingual/code-switched data. * Experience with ensemble labeling, pseudo-labeling, or LLM-assisted annotation. * Familiarity with data provenance, PII/GDPR-aware pipelines, or model-improvement compliance. * Experience building custom or fine-tuned models for specific customers or domains. * Comfort working directly with research and engineering teams on shared infrastructure. ## Related Videos - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Intelligent Data Selection for Continual Learning of AI Functions](https://www.wearedevelopers.com/videos/367-intelligent-data-selection-for-continual-learning-of-ai-functions) - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)