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T. Rowe Price
T. Rowe Price

Offers funds, subadvisory services, separate account management, and retirement plans and services for individuals, institutions, and financial int...

Senior Data Scientist

직무데이터 사이언스
경력시니어급
위치Baltimore, Moldova, United States
근무오피스 출근
고용정규직
게시2개월 전

보상

$121,000 - $258,000

지원하기

복지 및 혜택

의료보험

401k

유연 근무제

육아휴직

심리상담 지원

원격 근무

필수 스킬

Data science

Machine Learning

Python

AWS

Communication

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.

We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.

Join us for the opportunity to grow and make a difference in ways that matter to you.

About the Team

Are you a curious problem solver who asks great questions and loves collaborating across disciplines? At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore, MD Harbor Point location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management. If you’re a hands‑on leader who cares about people as much as technology, we’d love to talk.

Role Summary

This is a hands‑on, end‑to‑end lead role—from discovery to production. As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. T. Rowe Labs is focused on building the firm’s next‑generation data and AI platform, aiming to seamlessly deliver on‑demand ML‑powered insights across our firm.

Responsibilities

  • Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring.

  • Develop production solutions in Python (pandas, Py Spark) 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.

Qualifications Required:

  • 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).

  • Strong Python and Spark expertise; hands‑on Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).

  • Time‑series/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).

  • A solid understanding of financial markets and instruments.

  • Commitment to quality via unit/integration tests, data validation, documentation, and code review.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

Base Salary Ranges

Please review the job posting for the location of this specific opportunity.

$121,000.00 - $206,000.00 for the location of: Maryland, Colorado, Washington and remote workers**$133,000.00 - $227,000.00** for the location of: Washington, D.C.
$151,000.00 - $258,000.00 for the location of: New York, California

Placement within the range provided above is based on the individual’s relevant experience and skills for the role. Base salary is only one component of our total compensation package. Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.

Commitment to Diversity, Equity, and Inclusion

At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all.

Benefits

We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.

Featured employee benefits to enrich your life:

  • Competitive compensation

  • Annual bonus eligibility

  • A generous retirement plan

  • Hybrid work schedule

  • Health and wellness benefits, including online therapy

  • Paid time off for vacation, illness, medical appointments, and volunteering days

  • Family care resources, including fertility and adoption benefits

Learn more about our benefits.

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.

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T. Rowe Price 소개

T. Rowe Price

T. Rowe Price Group, Inc. is an American publicly owned global investment management firm that offers funds, subadvisory services, separate account management, and retirement plans and services for individuals, institutions, and financial intermediaries.

5,001-10,000

직원 수

Baltimore

본사 위치

$43B

기업 가치

리뷰

10개 리뷰

4.1

10개 리뷰

워라밸

3.2

보상

4.1

문화

4.3

커리어

2.8

경영진

4.0

78%

지인 추천률

장점

Supportive management

Good benefits and compensation

Positive work culture and team dynamics

단점

Limited career advancement and infrequent promotions

Work-life balance challenges and long hours

High pressure and heavy workloads

연봉 정보

3개 데이터

Mid/L4

Senior/L5

Mid/L4 · Data Scientist

0개 리포트

$223,333

총 연봉

기본급

-

주식

-

보너스

-

$188,500

$258,166

면접 후기

후기 4개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

25%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Technical Interview

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit