HiringCafe
Posted 16h ago

Director, Data Scientist

@ BNY
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New York or Jersey City
$160k-$260k/yrOnsiteFull Time
Responsibilities:exploring data, engineering features, developing models
Requirements Summary:Strong statistics and machine learning foundation; proficiency in Python (pandas, scikit-learn, XGBoost); experimental design and A/B testing experience; model explainability and LLM evaluation; cross-functional collaboration skills.
Technical Tools Mentioned:Python, pandas, scikit-learn, XGBoost
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Job Description

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Director, Data Science to join our Engineering team. This role location is New York City.

Role Overview: 

Own data exploration, feature engineering, and model development and evaluation to transform complex data into actionable insights and support AI model provisioning. Partner closely with engineering teams to design, deploy, and monitor models responsibly in alignment with business objectives.

Key Responsibilities

  • Lead data exploration and feature engineering activities to support model development.
  • Develop, evaluate, and refine statistical and machine learning models.
  • Translate complex data into actionable business insights.
  • Design experiments and A/B tests to assess model and business performance.
  • Define and track business-aligned success metrics.
  • Apply model explainability techniques to support transparent and responsible AI usage.
  • Collaborate closely with engineering partners to deploy, monitor, and maintain models in production.

 

Required Qualifications

  • Strong foundation in statistics and machine learning.
  • Proficiency in Python, including experience with pandas, scikit-learn, and XGBoost.
  • Experience with experimental design and A/B testing methodologies.
  • Ability to connect technical model outputs to business needs and domain context.
  • Familiarity with practical LLM evaluation techniques.
  • Demonstrated ability to work cross-functionally with technical and business stakeholders.


At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn

Here’s a few of our recent awards:

  • America’s Most Innovative Companies, Fortune, 2025
  • World’s Most Admired Companies, Fortune 2025
  • “Most Just Companies”, Just Capital and CNBC, 2025

 

Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $160,000 and $260,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.