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Vice President, Data Scientist I

BNY External Career Site
Pittsburgh, PA Full Time
POSTED ON 1/7/2025
AVAILABLE BEFORE 3/6/2025

Data Scientist

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.    

We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about.

We’re seeking a future team member for the role of Data Scientist to join our Treasury team. This role is located in Pittsburgh, PA

Data Scientist Job Description

Responsibilities:

  • Analyze and interpret complex data to identify trends, patterns, and insights
  • Develop and implement predictive models to support business objectives
  • Create data visualization tools to help communicate insights and findings to stakeholders
  • Data Collection and Cleaning: Gathering, processing, and validating structured and unstructured data for analysis
  • Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes
  • Stay up to date with the latest industry trends and advancements in data science

Requirements:

  • Bachelor’s degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Engineering)
  • 3 years of experience in a data science role
  • Strong background in statistical analysis, probability, machine learning, and data visualization
  • Experience working with large datasets and big data technologies (e.g., Hadoop, Spark)
  • Proficiency in programming languages such as Python, R, or SQL
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Analysis and Modeling: Conducting exploratory data analysis, building predictive models, and using machine learning techniques to uncover patterns and trends.
  • Strong communication and collaboration skills

Not require sponsorship for employment visa status (now or in the future) in the region where they apply


At BNY, our culture speaks for itself. Here’s a few of our awards: 

  • America’s Most Innovative Companies, Fortune, 2024
  • World’s Most Admired Companies, Fortune 2024
  • Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
  • Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024
  • “Most Just Companies”, Just Capital and CNBC, 2024
  • Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
  • Bloomberg’s Gender Equality Index (GEI), 2023


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

 

Modified based upon local regulations/requirements. Bachelor's degree in STEM degrees, or equivalent work experience with experience preferred in related fields. 3-5 years and bachelor’s degree in STEM programs with years of related experience required; experience in the securities or financial services industry is a plus

BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans. Our ambition is to build the best global team-one that is representative and inclusive of the diverse talent, clients and communities we work with and serve-and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.

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