Senior Data Scientist, Data Flywheel

🕒 5 days ago

🇺🇸 United States – Remote

💵 $165k - $220k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $47M Series B on 2022-11

Consulting • Healthcare • Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• Characterize data, including languages, conditions, domains, speakers, quality, and underrepresented areas • Design and build active-learning loops to prioritize work based on expected performance impact • Design human-in-the-loop workflows, tooling, and model-assisted processes • Build curated datasets and methodology for representative benchmarking of model quality across real-world speech • Run experiments to determine which data strategies improve results • Improve data consistency, cleanliness, organization, legibility, and accessibility for non-technical teams • Create repeatable, documented pipelines for domain- and customer-specific model adaptation • Collaborate with research, engineering, and data teams • Report to the VP of Data Operations

🎯 Requirements

• 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 problems • Working familiarity with speech/audio or NLP models • Track record of turning ambiguous, messy data situations into measurable model or product improvements • Ability to build reusable systems others can run • Strong communication skills, especially translating complex findings for non-specialist audiences • Active use of AI tools and ability to describe tools used and systems built • Direct experience with ASR/TTS, audio data, or multilingual/code-switched data preferred • Experience with ensemble labeling, pseudo-labeling, or LLM-assisted annotation preferred • Familiarity with data provenance, PII/GDPR-aware pipelines, or model-improvement compliance preferred • Experience building custom or fine-tuned models for specific customers or domains preferred • Comfort working directly with research and engineering teams on shared infrastructure preferred • Required location in the United States

🏖️ Benefits

• Equity • Bonus • 10% annual bonus • Equal employment opportunity • Applicant accommodations