Senior Data Scientist, Audio
Deepgram · Remote · USA - Remote ·
COMPENSATION
$178k – $220k
Listed on the employer's job board (Ashby)
- Senior Data Scientist
- Fully remote
- Python + ML
- Voice AI focus
- AI-first culture
Join Deepgram as a Senior Data Scientist working at the intersection of research and data operations. You will analyze complex conversational audio data to identify gaps, design systematic active learning strategies, and optimize human-in-the-loop workflows. This hands-on role offers significant latitude to define data strategies from first principles and scale proof-of-concepts into production pipelines.
What you'll do
- Characterize data assets to identify underrepresented languages, domains, and quality levels
- Design and build systematic active learning loops to prioritize high-impact work
- Optimize human-in-the-loop workflows to maximize the value of scarce human attention
- Create curated datasets and benchmarking methodologies for honest model quality assessment
- Run experiments to validate data strategies and overturn assumptions with evidence
- Ensure data consistency and make datasets accessible to non-technical teams
- Automate model adaptation by turning one-off tasks into repeatable, documented pipelines
What you'll need
- Hands-on experience with real data pipelines in data science, ML, or applied research
- Strong proficiency in Python and data tooling for analysis and automation
- Experience with data characterization, selection, or active learning problems
- Familiarity with speech/audio or NLP models and their error modes
- Track record of turning messy data situations into measurable product improvements
- Ability to build reusable systems rather than one-off notebooks
- Strong communication skills for translating complex findings to diverse audiences
- Active daily user of advanced AI tools in professional workflows
Nice to have
- Direct experience with ASR, TTS, or multilingual audio data
- Experience with ensemble labeling, pseudo-labeling, or LLM-assisted annotation
- Familiarity with data provenance and PII/GDPR-compliant pipelines
- Experience building custom or fine-tuned models for specific domains
- Comfort collaborating directly with research and engineering on shared infrastructure
Stack
- Python
- ASR
- TTS
- NLP
- LLM
How you'll work
- Fully remote position
- Fast-paced environment with rapid changes
- Expects active experimentation and adaptation
- Not a traditional prescriptive 9-to-5 role