Senior Data Scientist, Audio — AI-Driven Speech Insights

Deepgram; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Deepgram is seeking a Data Scientist to sit at the intersection of research and data, tackling conversational data challenges with cross-functional teams in a hands-on, high-leverage role. You will analyze data, design active-learning systems, and shape strategies that turn data into model gains, working with research, engineering, and data teams to push innovative AI capabilities.

This role rewards conviction, creativity in approach, and a willingness to overturn assumptions when the data says

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.

Responsibilities

• Understand and characterize our data. Build the analysis that tells us what we actually have - languages, conditions, domains, speakers, quality - and what's underrepresented.
• Design and build active-learning loops. Decide what's worth working on next based on where it will move performance, and make that decision systematic rather than intuitive.
• Think deeply about how to best leverage humans in the loop. Design the workflows, tooling, and model-assisted steps that make it count.
• Make representative benchmarking possible. Build the curated datasets and methodology that let us make honest claims about model quality across the full diversity of real-world speech.
• Change our minds about what data strategies actually work. Run the experiments that separate what works from what everyone assumes works.
• Care about data consistency, cleanliness, and organization - and about making data legible and accessible to non-technical teams, not just to the people who built the pipelines.
• Bring method and automation to model adaptation. Turn one-off, domain-and-customer-specific model work into repeatable, documented pipelines.

Skills

Python

Data tooling

Active learning

Communication

Tools

Pandas

SQL

Jupyter

Job description

Deepgram is seeking a Data Scientist to sit at the intersection of research and data, tackling conversational data challenges with cross-functional teams in a hands-on, high-leverage role. You will analyze data, design active-learning systems, and shape strategies that turn data into model gains, working with research, engineering, and data teams to push innovative AI capabilities.

This role rewards conviction, creativity in approach, and a willingness to overturn assumptions when the data says