Principal Data Scientist at Fidelity Investments

Merrimack, New Hampshire, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Finance, InvestmentIndustries

Requirements

Over 5 years of hands-on experience in developing machine learning and large language models (LLMs) using Python and R
Successfully designed, deployed, and optimized multiple AI/ML solutions in production, ensuring scalability and performance
Bachelor of Computer Science, Statistics, Physics, or Finance
8+ years of industry experience in data science or machine learning roles
Demonstrated success in leading data science or ML teams within complex, enterprise-scale environments
Deep knowledge of AI/ML methodologies, including model development, data engineering, and deployment pipelines
Strong proficiency in Python, SQL, and advanced data analysis techniques
Hands-on experience with Generative AI, Deep Learning, and Large Language Models (LLMs), including techniques such as prompt engineering, chain-of-thought prompting, RLHF, and few-shot/one-shot learning
Expertise with cloud and data platforms such as AWS, Snowflake, and Oracle RDS
Experience working in Scaled Agile environments, with the ability to plan, prioritize, and deliver high-impact solutions
Exceptional communication skills with the ability to engage and influence both technical and non-technical stakeholders
Proven ability to collaborate across cross-functional teams
Comfortable navigating complex and ambiguous problem spaces with a solution-oriented mindset
Passionate about staying at the forefront of AI/ML advancements and driving innovation through continuous learning and experimentation
Strong proficiency in SQL, with extensive experience in data preprocessing, wrangling, and transforming unstructured data into enriched, structured formats

Responsibilities

Continuously stay abreast of emerging AI/ML technologies, including AI agents, and apply cutting-edge tools to build effective, innovative solutions
Collaborate closely with DevOps teams to establish and maintain robust AI infrastructure and deployment pipelines
Architect intelligent, adaptive AI systems that support diverse use cases, driving down development costs while maximizing business impact
Partner with business leaders to define project objectives, analyze current workflows, and design future-state processes powered by AI
Work with senior stakeholders across business and technology to prioritize initiatives, maintain a healthy project pipeline, and ensure successful delivery
Understand complex business processes and data ecosystems, enabling more informed and strategic solution design
Present project updates, insights, and solution demos to both technical and non-technical senior leadership audiences with clarity and confidence
Drive the development and deployment of innovative machine learning solutions that address complex business and technical challenges across FFIO

Skills

Key technologies and capabilities for this role

PythonRMachine LearningLarge Language ModelsSQLData PreprocessingData WranglingAI InfrastructureDevOpsAI Agents

Questions & Answers

Common questions about this position

What experience level is required for this Principal Data Scientist role?

The role requires 8+ years of industry experience in data science or machine learning roles, plus over 5 years of hands-on experience developing machine learning and LLMs using Python and R.

What key technical skills are needed for this position?

Candidates need strong proficiency in Python, SQL, and advanced data analysis techniques, along with hands-on experience in Generative AI, Deep Learning, Large Language Models (including prompt engineering, RLHF), and cloud platforms like AWS, Snowflake, and Oracle RDS.

Is leadership experience required for this role?

Yes, demonstrated success in leading data science or ML teams within complex, enterprise-scale environments is required.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

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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