Principal Data Scientist

Fidelity Investments • Boston, MA

7d • $126,000 - $255,000

About The Position

Within Fidelity’s Enterprise Technology Artificial Intelligence Center of Excellence (ET AI CoE), the Principal Data Scientist will help shape the next generation of AI at Fidelity by designing and building AI capabilities and services for institutional and retail clients. The role works directly with business partners to address challenges in artificial intelligence, advanced analytics, and machine learning, delivering scalable, production-ready solutions that create customer and business value.

This is a hands-on technical leadership role that guides standards and processes across NLP, speech analytics, and generative AI model development. The Principal Data Scientist mentors and uplifts data scientists and engineers, builds collaborative partnerships, and promotes quality and innovation. The role is part of a multidisciplinary AI team that develops and scales algorithms, models, frameworks, platforms, and technologies to transform customer experiences and support measurable business outcomes.

The successful candidate will partner with business, product, and engineering teams to translate requirements into AI-driven solutions. The work includes developing algorithms, models, and occasionally applications that surface insights and contribute to revenue or cost savings, improved customer experiences, and greater efficiency through automation and optimization. Fidelity is transitioning toward a full-time onsite working model through a phased rollout; current onsite expectations vary by role and location and may evolve.

Requirements

• Advanced degree (Master’s or PhD) or equivalent practical experience in Computer Science, Machine Learning, Data Science, Engineering, or a related field.
• Experience designing, building, and deploying AI/ML models in production environments.
• Deep understanding of MLOps standards, including scalable architectures, reproducibility, monitoring, CI/CD, and compliance.
• Extensive hands-on expertise in NLP and computational linguistics, including entity recognition, text summarization, and conversational analytics.
• Proficiency in Python and experience with modern ML libraries such as PyTorch and transformers.
• Experience with cloud-based workflows, including AWS SageMaker, Bedrock, Athena, and Snowflake.
• Experience building retrieval-augmented generation (RAG) pipelines and integrating external knowledge sources.
• Demonstrated technical leadership, including mentoring, peer reviews, architectural decision-making, and promoting engineering excellence.
• Ability to explain complex technical topics clearly and persuasively to technical and non-technical partners, with strong technical writing and documentation skills.
• Experience with audio data pipelines, speech recognition (ASR), audio-to-audio processing, and conversational AI such as dialogue systems, call transcription, or voice assistants.
• Experience with 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.
• Excellent communication and presentation skills, and comfort collaborating in team settings.

Responsibilities

• Design and build AI capabilities and services for institutional and retail clients.
• Engage with business partners to develop scalable, production-ready AI, advanced analytics, and machine learning solutions.
• Guide standard processes for NLP, speech analytics, and generative AI model development.
• Mentor and upskill data scientists and engineers.
• Conduct peer code and design reviews, drive architectural decisions, and champion engineering excellence.
• Partner with business, product, and engineering teams to translate requirements into AI-driven solutions.
• Develop algorithms, models, and occasionally applications that deliver business and customer value.
• Decompose research or tactical deliverables into modular, reusable strategic capabilities and services.
• Communicate and document complex technical topics for technical and non-technical partners.

Benefits

• Comprehensive health care coverage
• Emotional well-being support
• Retirement benefits
• Paid time off
• Parental leave
• Charitable giving employee match program
• Educational assistance, including student loan repayment and tuition reimbursement
• Learning resources for career development
• Bonus or other variable compensation, depending on position and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Principal