> Markdown version of [/jobs/ext/4505240-principal-data-scientist](https://www.wearedevelopers.com/jobs/ext/4505240-principal-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Principal Data Scientist

- **Company:** FIDELITY LLC
- **Location:** Boston, MA, United States (Remote available)
- **Salary:** $126,000.0 - $255,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Audio Signal Processing, Cloud Computing, Cloud Engineering, Computational Linguistics, Nvidia CUDA, Continuous Integration, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, Data Streaming, Speech Recognition, Chatbots, Pytorch, Retrieval-Augmented Generation, Snowflake, Scikit Learn, Information Technology, Apache Kafka, Machine Learning Operations, Text Summarization, Data Pipelines
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/principal-data-scientist-boston-ma--e3a27928-aa4b-4f50-97b5-83c6e4863cd0

## About the Role

Data Science, Artificial Intelligence (AI), Machine Learning, Retail, Mentoring, Data Science, Technical Leadership, Cloud Computing, Natural Language Processing (NLP), Open Source, * Advanced degree or equivalent experience (Master's or PhD) in Computer Science, Machine Learning, Data Science, Engineering, or a related field, or equivalent practical experience.

 * Experience designing, building, and deploying AI/ML models in production environments, with deep understanding of MLOps standards (scalable architectures, reproducibility, monitoring, CI/CD, and compliance).
 * Extensive hands-on expertise with:
 + Natural Language Processing (NLP) and computational linguistics, including entity recognition, text summarization, and conversational analytics.
 + Programming in Python (primary), with experience in modern ML libraries (PyTorch, transformers, etc.).
 + Cloud-based workflows (AWS SageMaker, Bedrock, Athena, Snowflake).
 + RAG pipelines for retrieval-augmented generation, enabling context-aware responses and integration of external knowledge sources.

 * Demonstrated technical leadership: mentoring and upskilling data scientists, conducting peer code/design reviews, driving architectural decisions, and championing engineering excellence.
 * Ability to communicate complex technical topics clearly and persuasively to both technical and non-technical partners (including strong technical writing/documentation skills).
 * Experience working with audio data pipelines, speech recognition (ASR), audio-to-audio processing, and conversational AI (including dialogue systems, call transcription, or voice assistants).
 * Experience with modern real-time and streaming data technologies (such as Apache Kafka, AWS Kinesis, Apache Pulsar, or cloud-native event streaming platforms).
 * Hands-on CUDA/GPU optimization experience for accelerating AI/ML workloads.
 * Ability to decompose research or tactical deliverables into modular, reusable, strategic capabilities/services.
 * Excellent communication and presentation skills while being comfortable collaborating in team settings.