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Top Data & Analytics Jobs in NYC, NY
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Manager of Data Science, you'll lead a team that utilizes transaction data and machine learning to enhance customer experiences. Responsibilities include building scalable machine learning models, collaborating with cross-functional teams, and mentoring data scientists to achieve business goals.
Top Skills:
Python
Fintech • Machine Learning • Payments • Software • Financial Services
As a Data Scientist, you will build and deploy machine learning models to assist in customer management at Capital One, collaborating with cross-functional teams. Your work will involve leveraging large datasets to derive insights and modernizing the model lifecycle processes.
Top Skills:
Python
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Data Engineer at Capital One, you'll collaborate with Agile teams to design and implement technical solutions using languages like Python and SQL, develop data solutions in AWS, and engage in full-stack development. You'll work on big data technologies and ensure code quality through unit tests and reviews.
Top Skills:
JavaPythonScalaSQL
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Business Analyst, you will support strategic initiatives by analyzing business challenges and developing actionable solutions. You will collaborate across teams to enhance product strategies and contribute to improving customer engagement through Capital One's platforms. Strong analytical skills and business acumen are crucial for decision-making.
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Machine Learning Engineer at Capital One, you will design, develop, and implement machine learning models and systems, collaborating with cross-functional teams. You will ensure the performance and reliability of these models, construct data pipelines, and apply cloud technologies. Your role involves continuous improvement and applying best practices in ML engineering to solve real-world business problems.
Top Skills:
JavaPythonScala
5 Days Ago
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Manager Machine Learning Engineering, you'll lead an Agile team in building and productionizing machine learning applications. Responsibilities include designing and developing ML models, ensuring high availability, collaborating with cross-functional teams, and utilizing best practices in ML engineering. You'll also leverage cloud-based architectures and manage ML systems to resolve business problems at scale.
Top Skills:
JavaPythonScala
Fintech • Machine Learning • Payments • Software • Financial Services
As a Principal Data Scientist, you will lead data-driven projects in commercial banking, leveraging machine learning and data analysis to improve practices. You will work collaboratively, utilizing vast datasets and modern technologies to derive insights that drive crucial business decisions.
Top Skills:
PythonPyTorchRScala
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Associate, Data Scientist in Customer Management, you will collaborate with data scientists and software engineers to develop machine learning models to improve customer management decisions. Your role involves utilizing Python, AWS, and other technologies to analyze large datasets, while also owning the entire model lifecycle from development to implementation.
Top Skills:
Python
Fintech • Machine Learning • Payments • Software • Financial Services
The Principal Associate, Data Scientist in Fraud Intelligence will build and maintain machine learning models to protect customers from fraud. Responsibilities include partnering with cross-functional teams, analyzing large datasets, developing models, and translating complex data insights into business goals.
Top Skills:
Python
Fintech • Machine Learning • Payments • Software • Financial Services
The Sr. Business Manager will lead the Customer Experience Insights & Analytics team to transform data into actionable insights, managing strategies for product, marketing, and credit risk. This includes overseeing analytics, establishing business strategies, and enhancing customer feedback and benchmarking capabilities.
Top Skills:
Qualitative AnalysisQuantitative Analysis
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