Apply on Employer Site

Fidelity Investments · 10 hours ago

Principal Data Scientist

Merrimack, NH

Full-time

Hybrid

Senior Level, Lead/Staff

5+ years exp

Fidelity Investments is seeking a Principal Data Scientist to work at the forefront of emerging technologies. The role involves building critical machine learning applications and implementing advanced solutions in Natural Language Processing and predictive analytics.

Asset ManagementFinanceFinancial ServicesRetirementWealth Management

Growth Opportunities

H1B Sponsor Likely

Responsibilities

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

Qualification

Machine LearningDeep LearningNatural Language ProcessingPythonData PipelinesAWSCI/CDDevOpsCommunication SkillsProblem Solving

Required