Remotely
pythonautomationnlpdata pipelinesdatamlasr
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Job Description
📋 Description
- Hands-on data scientist role at the intersection of research and data
- Characterize conversational data, languages, conditions, and quality
- Design active-learning loops to guide what to work on next
- Build reusable data pipelines and model-assisted tooling
- Collaborate with research, engineering, and data teams to drive model gains
- Operate with AI-first mindset and adapt to rapid changes in AI tooling
🎯 Requirements
- Hands-on work on real data pipelines and model-facing problems in data science, ML, or applied
- Strong Python and data tooling; ability to build analysis, scoring, and automation
- Experience with data characterization, active learning, or similar problems
- Familiarity with speech/audio or NLP models; reason about output quality and error modes
- Proven track record turning messy data into measurable improvements
- Ability to build reusable systems rather than one-off notebooks
🎁 Benefits
- Equity and bonus opportunities
- Competitive base salary with annual bonus
- Collaborative, AI-driven work environment