Vice President, Data Scientist I

0 years

0 Lacs

Posted:19 hours ago| Platform: GlassDoor logo

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Job Type

Part Time

Job Description

Vice President, Data Scientist I



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 Vice President, Data Scientist I to join our BNY team. This role is in Chennai, TN –HYBRID.

In this role, you’ll make an impact in the following ways:

  • Mining or extracting useful data from valuable data sources.
  • Using machine learning tools to select features, create and optimize classifiers.
  • Preprocessing structured and unstructured data.
  • Enhancing data collection procedures to include relevant information for analytic systems
  • Processing, cleansing, and verifying the data quality for analysis.
  • Working with colleagues in other departments to improve business outcomes.
  • Creating and applying custom data models and algorithms to data sets.
  • Keeping up with and contributing to the latest AI research, applying new findings to ongoing projects.
  • Ensuring ethical AI development practices, focusing on fairness, transparency, and privacy.
  • Leading the design, development, and implementation of LLMs and ML models for NLP applications.
  • Working with cross-functional teams to define requirements, conduct experiments, and evaluate models for performance and scalability.
  • Staying on top of the latest developments in LLMs, ML, and NLP technologies and applying them to enhance our products and services.
  • Mentoring junior engineers and providing technical guidance on LLMs, ML, and NLP best practices.

To be successful in this role, we’re seeking the following:

  • Bachelor's degree in Computer Science, Engineering, or related field etc. Knowledge of financial domain and investment banking is a plus.
  • Knows data well and has working knowledge of various Big Data technologies and their use in AI/ML.
  • Has expertise in statistics and probability, and the various evaluation metrics related to different algorithms.
  • Has built machine learning models including data preparation techniques, feature engineering techniques, and related ML algorithms to solve real world problems.
  • Proficient in Python and common machine learning and AI frameworks and packages, such as TensorFlow, PyTorch, Keras, Scikit-learn, etc.
  • Experience in Data Science development lifecycle, project implementation methodologies such as agile etc. and stays current with the AI research areas and current trends.
  • Expertise in handling large and complex datasets, with a keen ability to uncover insights that drive strategic decisions.
  • Advanced proficiency in data visualization and the creation of dashboards and protypes that communicate insights clearly.


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.

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BNY

Financial Services

Pittsburgh

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