Job Description:

Job Description: Principal Data Scientist 

 

The Role 

 

Do you want to work at the epicenter of new and emerging technologies?  Not just tinkering around the edges, rather building critical solutions that will benefit our teams for years to come. Those who love to work with data may see this as the pinnacle of opportunities anywhere in the industry.  Asset Management’s Advanced Process Solutions team is seeking a Principal Data Scientist with experience in Large Language Models, Natural Language Processing, Machine learning, various Deep Learning related technologies, predictive and prescriptive analytics.  If you want to build, design, and implement machine learning applications, such as: modeling, data ingestion, building data pipelines, writing APIs; as well as, designing and implementing natural language processing (NLP) and other machine learning algorithms, then this is the role for you! 

 

 

The Expertise and Skills You Bring 

• Deep understanding of Machine Learning & Deep Learning algorithms 

• Proven experience working with business partners to understand their problem, design and model a solution, and bring a prototype to market efficiently  

• Practical LLM application experience: RAG architectures, vector databases (e.g. Pinecone, FAISS), prompt engineering, evaluation frameworks, and guardrails/safety. 

• Knowledge of most of the following quantitative fields: Natural Language Processing, OCR Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment 

• Programming skills and experience, such as Python, Scikit Learn, PyTorch etc. 

• Expertise in navigating large data sets (structured and unstructured), discovering, cleaning, analyzing, and preparing data for ingestion 

• Experience building and hosting data pipelines and RESTful APIs 

• Professional experience building scalable applications in AWS 

• Familiarity with CI/CD and DevOps standard methodologies and/or ML-Ops 

• Additional technical skills that are nice to have: Snowflake, JavaScript, Spark, Serverless, Jenkins, Concourse, NoSQL databases, Tableau, R, Linux 

• A creative problem solver, who thrives on working through complex challenges and is fueled by a natural curiosity to keep up with continuous advancements and trends in technology  

• Strong technical foundation with an ability to learn new skills and technologies as needed 

• Great collaboration and interpersonal skills while also demonstrating the ability to be self-starter and independent thinker 

• Strong communication and presentation skills, with the ability to explain complex technical/analytical concepts to audiences at all levels (technical and non-technical) 

• Computer science / mathematics / quantitative educational background 

• Working knowledge of Investment Management business domain knowledge across some combination of Research, Portfolio Management, Trading, Compliance, and Investment Operations is helpful, but not necessary 

• Bachelors or equivalent with 7+ years of experience or Masters with 5+ years of experience 

 

The Team 

 

The Advanced Process Solutions Emerging Solutions is on the frontier of emerging technology and delivers innovative, scalable, industry-leading tools that enable Asset Management to achieve competitive advantage globally. Our work in this truly groundbreaking initiative will provide a major contribution to Asset Management’s business operations and scale and efficiency objectives. 

 

 

Certifications:

Category:

Data Analytics and Insights

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 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.