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Data Scientist - Decision Science - Chase
Recruited by JPMorgan Chase Bank, N.A. 1 year ago
Address , New York, Ny
$142,500 - $200,000 a year
Decision Scientist Jobs
Company | JPMorgan Chase & Co. |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-08-14 |
Posted at | 9 months ago |
JPMorgan Chase & Co. has expanded its consumer business and we have launched a new digital retail bank in the UK. We are offering consumers a completely new banking experience. Under the Chase brand, the bank provides products and features tailored to meet the needs of customers in the UK, made available via an innovative mobile app.
- Creating a segmentation of customers that is predictive for given business key performance indicator (KPI),
- Optimizing marketing spend for better reach, conversion rates,
- Building predictive transition models that can provide insights about customer's behaviour in the future.
- Build state-of-the-art machine learning models and deploy these models following all relevant processes and governance.
- Interact with stakeholders to understand key issues and gather requirements.
- Build statistical concepts and form scientific insights to help promote informed actions across leadership teams.
- Present results to senior leadership and manage expectations.
- Compile and analyse statistical data and use that information to support recommendations for actions and decisions.
- Qualifications
- Reinforcement learning (including multi-armed bandits)
- Software
- Understanding of relational databases
- MSc or PhD in a computer science or STEM (science, technology, engineering or mathematics) related field or the foreign equivalent
- Understanding of distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
- Experience using Python and related libraries (required: TensorFlow; desired: PyTorch, TF probability, GPFlow)
- Technically curious, self-motivated, versatile and solution oriented
- Understanding of data streaming and messaging frameworks (Kafka, Spark Structured Streaming, Flink, etc.)
- Experience with containers and container-based deployment environment (Docker, Kubernetes, etc.)
- Desired:
- Desired:
- In-depth knowledge of statistics and machine learning (required: supervised and unsupervised learning)
- Semi-supervised learning
- Transfer learning
- Excellent written and verbal communication skills in English
- Experience with SQL (any dialect)
- Evidence of real-life experience with end-to-end machine learning projects
- Ability to work in a dynamic, agile environment within a geographically distributed team
- Ability to work within a diverse and inclusive team
- Ability to focus on promptly addressing customer needs
- Desired:
- Understanding of current challenges surrounding artificial intelligence: A.I. ethics, fairness, data leakage, model drift, etc.
- Soft Skills
- Statistics and Machine Learning
- Multi-task learning
- Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
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