Himalayas
Data Scientist
Rocket Learning2 weeks ago
- Where you can work from
- Remote — United States onlyUnited States
- Salary
- Salary not disclosedThe employer did not publish a range. We do not estimate one.
- Job type
- Full-time
- Experience
- Mid level
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Job description
This is a remote position.
Data Scientist
(3-6 years of experience - Remote/Hybrid Bengaluru)
(3-6 years of experience - Remote/Hybrid Bengaluru)
Design, build, and deploy ML and LLM-based systems that drive personalization, assist teachers, and improve programs.
What you’ll do
Develop, evaluate, and deploy ML, deep learning & LLM models
Own end-to-end DS lifecycle: problem definition → deployment → monitoring
Build reproducible, well-documented model workflows & pipelines
Implement strong model QA/QC: validation, drift detection, experiment logs
Collaborate with product & domain teams to shape modeling strategies
Continuously improve performance, documentation, reliability & processes
What we’re looking for
3–6 years in applied ML / ML engineering / NLP / LLM development
Strong fundamentals: statistics, ML algorithms, deep learning
Python (pandas, numpy, scikit-learn, PyTorch/TensorFlow)
ML workflow tools (MLflow, experiment tracking, registries)
Experience with LLMs, fine-tuning, embeddings, vector stores, RAG
Experience deploying models through APIs or containerized workflows
Key Success Factors
High ownership, clean engineering, excellent documentation
Excellent communication and collaboration across teams to translate needs into solutions
Curiosity, fundamentals, and bias for shipping reliable systems
Originally posted on Himalayas
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via Himalayas · Himalayas
Job availability & source
Still listed on the employer's own board at our last check, 7 days ago
This job was originally posted by the employer or source shown below. We re-check the original listing regularly to keep its availability current, and send you straight to it to apply — we never sit in between.
- Source
- Himalayas
- Posted by the employer
- 6 Oct 2026
- First seen by us
- 18 Oct 2026
- Last checked
- 18 Oct 2026
via Himalayas — view on source
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