Principal Data Scientist at Fidelity Investments

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, TechnologyIndustries

Requirements

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

Responsibilities

Help shape the next generation of AI at Fidelity, designing and building critical AI capabilities and services
Engage directly with business partners to navigate the complexities of artificial intelligence, advanced analytics, and machine learning, delivering scalable, production-ready solutions
Act as a hands-on technical leader and mentor, guiding standard processes across NLP, speech analytics, and generative AI model development
Mentor and uplift other engineers, build collaborative partnerships, and set the tone for quality and innovation
Research, develop, and scale sophisticated AI algorithms, models, frameworks, platforms, and technologies
Serve as a trusted AI partner helping business, product, and engineering partners translate business requirements into real-world next-generation AI-driven solutions
Build algorithms, models, and occasionally applications that surface insights and deliver value (revenue and/or cost saving benefits, customer experiences/journeys, and increased efficiencies through automation/optimization)

Skills

Key technologies and capabilities for this role

AIMachine LearningNLPSpeech AnalyticsGenerative AIMLOpsCI/CDCloud TechnologiesPythonScalable Architectures

Questions & Answers

Common questions about this position

What qualifications are required for the Principal Data Scientist role?

Candidates need an advanced degree or equivalent experience (Master’s or PhD) in Computer Science, Machine Learning, Data Science, Engineering, or a related field, plus experience designing, building, and deploying AI/ML models in production with deep MLOps understanding.

What technical skills are essential for this position?

Key skills include extensive hands-on expertise with Natural Language Processing (NLP), Python programming with ML libraries like PyTorch and transformers, cloud-based workflows on AWS SageMaker and Bedrock, and RAG pipelines.

What is the team culture like for this AI role at Fidelity?

The team is passionate about innovation, multidisciplinary with strengths in Data Science, ML engineering, software, and domain expertise, and focuses on mentoring, collaboration, and advancing Fidelity’s AI leadership.

What leadership experience is needed for the Principal Data Scientist position?

Demonstrated technical leadership is required, including mentoring and upskilling data scientists, conducting peer code/design reviews, driving architectural decisions, and championing engineering excellence.

What salary or compensation does this role offer?

This information is not specified in the job description.

Fidelity Investments

Investment management and financial services provider

About Fidelity Investments

Fidelity Investments offers a range of financial services and tools designed to help individuals manage their investments and stay informed about the markets. Their products include mobile applications and market monitoring tools that provide users with real-time market quotes, news, and trading capabilities. For example, the Fidelity Market Monitor for Glass delivers daily market quotes directly to Google Glass, while the Fidelity app for Windows Phone 8 allows users to access news and trading tools on their mobile devices. Additionally, features like the Watch List Visualization for iPad help users track stock price changes over time using a heatmap. What sets Fidelity apart from its competitors is its focus on integrating new technologies and user-friendly interfaces to enhance the investment experience. The goal of Fidelity Investments is to empower individuals with the information and tools they need to make informed financial decisions.

Boston, MassachusettsHeadquarters

1946Year Founded

$120,238.8MTotal Funding

DEBT_FINANCINGCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Mental Health Support

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Parental Leave

Student Loan Assistance

Tuition Reimbursement

Risks

Loss of key personnel like Gita Bal may impact Fidelity's research capabilities.

Increased competition from Vanguard's new division could draw clients away from Fidelity.

Potential reputational risk from Bitcoin ETF outflows could affect Fidelity's offerings.

Differentiation

Fidelity Labs offers innovative beta products like Market Monitor for Google Glass.

Fidelity's mobile solutions are available on multiple platforms, including Windows Phone and iPad.

Fidelity's Open Limit Order Visualization provides unique insights into order execution proximity.

Upsides

Increased adoption of wearable tech could boost Fidelity's mobile solutions.

Growing interest in Bitcoin ETFs suggests expansion in Fidelity's digital asset offerings.

Rise of AI could benefit Fidelity's data analytics and AI-driven investment strategies.

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