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This listing doesn't post a salary. Most similar roles pay
$134,250–$200,950.
Based on 240 similar postings.
Employer
About Deutsche Bank
Deutsche Bank is a German multinational investment bank and financial services company offering corporate banking, investment banking, retail banking, asset management, and transaction banking worldwide. Industry: Investment Banking & Financial Services
Deutsche Bank currently has
53 open roles
on FindRole.
Listed pay typically runs
$113,599–$140,000
across 29 roles with salary data.
Senior Data Scientist - Assistant Vice President joins a global Data Science team to support AI-driven transaction monitoring and analytics for Wealth Management. This role involves partnering with U.S. product users to translate business needs into practical machine learning and AI solutions. You will lead end-to-end implementations, including requirements gathering, data identification, model development, testing, validation, and deployment. Key responsibilities include analyzing complex customer activity data to identify trends and improving analytical outputs. Required skills include proficiency in Python, SQL, and relevant analytical libraries, alongside a strong foundation in statistics and machine learning. Candidates should demonstrate product thinking, stakeholder management, and experience with the software development lifecycle. Preferred experience includes Google Cloud Platform, generative AI, MLOps, and working within regulated financial services or transaction monitoring environments.
What does a Data Scientist earn in New York?
Median $173200 from 44 postings across 18 companies.
Translate business problems and customer needs into clear technical requirements for machine learning and AI solutions.
Lead the end-to-end implementation of AI use cases from requirements gathering through deployment and go-live.
Develop and support machine learning solutions for AI-driven transaction monitoring and Wealth Management analytics.
Evaluate and implement practical generative AI opportunities to enhance existing analytical products.
Analyze complex customer activity data to identify trends and generate actionable business insights.
Partner with U.S. product users to identify opportunities for product enhancements and improvements.
Manage the full software development lifecycle including model testing, validation, and production deployment.
What we're looking for
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline, or equivalent relevant experience.
Hands-on experience developing applied Data Science or machine learning solutions using Python and SQL with complex datasets.
Demonstrated product thinking and stakeholder management skills to translate customer needs into practical technical solutions.
Strong foundation in machine learning, statistics, and analytical problem-solving with the ability to communicate technical concepts to nontechnical stakeholders.
Experience developing, testing, deploying, or supporting machine learning solutions in a production or enterprise environment.
Working knowledge of the software development lifecycle, version control, testing, and deployment practices.
Experience with Google Cloud Platform (preferred); strong experience with Microsoft Azure or Amazon Web Services (preferred).
Experience applying generative AI, large language models, MLOps, or working in regulated financial environments (preferred).
GenAI
LLM
Python
SQL
AWS
Spark
TensorFlow
PyTorch
Scikit-learn
R
Java
RAG
Agentic AI
Transformer
OpenAI API
NLP
Deep Learning
Reinforcement Learning
Time Series
Media Mix Modeling
Multi Touch Attribution
SQL
Python
R
Databricks
BigQuery
Machine Learning
Multivariate Regression
Optimization Algorithms
Generative AI
RShiny
Ads Data Hub
Data Science