Senior Audio Data Scientist (Remote)

Bazeta; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Deepgram is seeking a Senior Data Scientist to join the intersection of research and data. You will work on conversational audio, build active-learning loops, and scale data-driven insights into model gains.

This hands-on role requires comfort with real data pipelines, model-facing problems, and strong Python tooling. You’ll collaborate with research, engineering, and data teams to characterize data, benchmark performance, and drive system-wide improvements in ASR/TTS or multilingual scenarios.

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.

Responsibilities

• Understand and characterize our data. Build analysis that tells us what we actually have and what's underrepresented.
• Design and build active-learning loops to move performance systematically.
• Think deeply about leveraging humans in the loop; design workflows, tooling, and model-assisted steps.
• Make representative benchmarking possible with curated datasets and methodologies to measure model quality across diverse real-world speech.

Skills

Data pipelines

Python

Active learning

Speech models

Communicate findings

Job description

Deepgram is seeking a Senior Data Scientist to join the intersection of research and data. You will work on conversational audio, build active-learning loops, and scale data-driven insights into model gains.

This hands-on role requires comfort with real data pipelines, model-facing problems, and strong Python tooling. You’ll collaborate with research, engineering, and data teams to characterize data, benchmark performance, and drive system-wide improvements in ASR/TTS or multilingual scenarios.