• Lead and develop a team of Data Scientists • Define the measurement and experimentation strategy • Elevate the craft of experimentation • Partner closely with Product, Marketing, Sales, and Finance • Translate complex quantitative signals into clear insights • Increase team leverage by building scalable analytics systems • Operate effectively in ambiguity

• Design and implement data-driven risk scoring and prioritization approaches across SaaS security signals. • Lead the development of AI-powered product capabilities, including agentic and LLM-based features that support investigation, triage, and security operations workflows. • Define and evolve explainable decision logic so customers understand why issues are prioritized or actions are recommended. • Contribute to approaches that assess the potential scope and impact of security issues. • Establish evaluation methods to measure model quality, effectiveness, and reliability over time. • Incorporate product usage signals and feedback to guide continuous improvement of ML and AI systems. • Monitor ML and AI systems in production to ensure stability, safety, and consistent behavior. • Partner with Engineering to operationalize models and AI workflows, supporting safe deployment and iteration. • Collaborate with Product to shape AI-driven user experiences, ensuring alignment with customer needs and trust expectations. • Act as a technical leader and thought partner on applied ML and AI across the product area.

• Proactively identifying and prioritizing use cases across industries leveraging AI and Machine Learning techniques • Building, validating, deploying, and monitoring advanced analytics solutions • Coaching the data engineer and data science team to deliver service and develop solutions • Collaborating to understand clients’ needs and guide them towards building AI and Machine Learning solutions • Build, validate, deploy, monitor, and provide MLOps support for a set of AI/Machine Learning models • Ensure solutions comply with the highest levels of security, privacy and data governance requirements

Title: Principal Data Scientist Location: 245 Summer St, Boston MA Job Description: Job Description: Note: Fidelity will not provide immigration sponsorship for this position. Within Fidelity’s Enterprise Technology Artificial Intelligence Center of Excellence (ET AI CoE), you will help shape the next generation of AI at Fidelity, designing and building critical AI capabilities and services that will benefit institutional and retail clients for years to come. You’ll engage directly with business partners to navigate the complexities of artificial intelligence, advanced analytics, and machine learning, delivering scalable, production-ready solutions that drive customer and business value. As a Principal Data Scientist, you will be a hands-on technical leader and mentor, guiding standard processes across NLP, speech analytics, and generative AI model development. You’ll join a team passionate about innovation, working with modern cloud and open-source technologies while solving some of the financial industry’s most exciting data challenges. The Team Our AI team propels Fidelity forward by researching, developing, and scaling sophisticated AI algorithms, models, frameworks, platforms, and technologies that transform customer experiences and drive measurable business outcomes. As a Principal Data Scientist, you will play a vital technical leadership role: mentoring and uplifting other engineers, building collaborative partnerships, and setting the tone for quality and innovation. Our diverse group draws on multidisciplinary strengths: Data Science, ML engineering, software, and domain expertise to continually advance Fidelity’s position at the forefront of applied AI. The Expertise You Bring - 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. The Value You Deliver You will be a trusted AI partner helping business, product, and engineering partners translate business requirements into real-world next-generation AI-driven solutions. The ideal candidate combines expert open-source AI/ML modeling with hands-on technical experience to 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). The base salary range for this position is $126,000-255,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position. Certifications: Category: Data Analytics and Insights