Senior AI Data Scientist (T. Rowe Labs - NYC or Baltimore, MD) at T. Rowe Price

New York, New York, United States

T. Rowe Price Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Asset Management, FinanceIndustries

Requirements

  • BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent; 5+ years in data science/ML
  • Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring)
  • Solid understanding of cloud-native architectures (AWS)
  • Excellent communication and collaboration skills; adept at asking incisive questions and aligning diverse stakeholders
  • (Preferred) Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation)
  • (Preferred) Strong Python and Spark expertise; hands-on Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows)
  • (Preferred) Time-series/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt)
  • (Preferred) A solid understanding of financial markets and instruments
  • (Preferred) Commitment to quality via unit/integration tests, data validation, documentation, and code

Responsibilities

  • Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring
  • Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments
  • Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines
  • Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost
  • Deliver well-defined work items; clarify requirements through thoughtful questions and proposals
  • Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture
  • Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions
  • Help shape elements of the data/ML platform strategy and drive execution within your domain
  • Balance strategic and pragmatic concerns; proactively surface risks and resolve issues

Skills

Key technologies and capabilities for this role

AIData ScienceDatabricksAnalyticsMachine Learning

Questions & Answers

Common questions about this position

What is the location for this Senior AI Data Scientist role?

The position is available in the New York City office or at the brand-new AI Data Science squad at the new Baltimore, MD Harbor Point location.

What technical skills are required for this position?

The role requires expertise in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs), full data and model lifecycle management including EDA, feature engineering, modeling, deployment, and monitoring, as well as automated testing, CI/CD, and reproducible experiments.

What is the salary range for this role?

This information is not specified in the job description.

What is the company culture like at T. Rowe Price?

T. Rowe Price offers a collaborative culture that respects and values differences, with colleagues who share a spirit of generosity, and emphasizes opportunities to create real impact at work and in the community.

What makes a strong candidate for this Senior AI Data Scientist position?

A strong candidate is a curious problem solver who asks great questions, loves collaborating across disciplines, acts as a hands-on leader who cares about people as much as technology, and can mentor others while leading code/design reviews.

T. Rowe Price

Global asset management and investment advisory services

About T. Rowe Price

T. Rowe Price provides investment advisory services and retirement solutions to individual investors, financial intermediaries, and institutions. The firm employs a disciplined investment approach supported by extensive research to deliver long-term value. It generates revenue mainly through management fees based on the assets it manages, which amounted to $1.569 trillion as of June 30, 2024. T. Rowe Price serves a wide range of clients, including individual investors, retirement plan sponsors, and institutional investors like endowments and foundations. Its global reach and experienced investment teams enable the firm to offer various investment strategies and products, helping clients achieve their financial goals.

Baltimore, MarylandHeadquarters
1937Year Founded
$78,115.8MTotal Funding
IPOCompany Stage
Quantitative Finance, Financial ServicesIndustries
10,001+Employees

Benefits

Paid Volunteer Time
Parental Leave
Learning & Growth Resources
Matching Charitable Gifts
Health Care Benefits
Generous Retirement Plan

Risks

Increased competition from AI-powered platforms challenges T. Rowe Price's traditional strategies.
Departure of key personnel may impact T. Rowe Price's wealth management capabilities.
High valuations of AI startups could divert capital from traditional asset management firms.

Differentiation

T. Rowe Price offers a comprehensive range of investment strategies across various asset classes.
The firm emphasizes long-term value through disciplined investment and extensive research capabilities.
T. Rowe Price's global reach and diverse client base enhance its market position.

Upsides

Growing interest in AI-driven investment strategies presents new opportunities for T. Rowe Price.
The rise of quantum technology aligns with T. Rowe Price's focus on tech startups.
Collaboration trends in biotech offer potential investment opportunities in genetic medicine.

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