[Hiring] Senior Data Scientist @Deepgram

Role Description

Deepgram is looking for a Data Scientist to sit at the intersection between research and data: people who think deeply about what conversational data is actually composed of, what makes data valuable, and how to best leverage that.

• Collaborate closely with our research, engineering, and data teams to answer questions rigorously and at scale.
• Care deeply about what makes conversational data difficult, characterize it, and shape strategies that turn it into model gains.
• This is a hands-on, high-leverage role with unusual latitude to define an area from first principles.
• Reports to the VP of Data Operations.

We're looking for people who:

• See "we've always done it this way" as a starting position to argue with, not a constraint to work around.
• Can find the one experiment that settles a question in days rather than months.
• Are creative about where signal hides — in metadata, in model confidence, in the failures.
• Have the vision to take a scrappy proof-of-concept and scale it 100x.
• Are obsessed with using AI to automate and amplify their own impact.

Qualifications

• 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.

Requirements

• 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.

Benefits

Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC, and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!

Company Description

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale.

• More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’.
• Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software.
• Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words.