Top Data & Analytics Jobs in NYC, NY

As a Senior Associate Data Scientist at Capital One, you will collaborate with cross-functional teams to deliver machine learning models and insights from large datasets. Your role includes developing models, managing model risk, and translating technical work into business goals.

As a Senior Data Scientist at Capital One, you will lead projects focusing on emerging machine learning technologies, conduct research on self-supervised learning and build customer behavioral models. You'll work throughout the data science lifecycle, operationalizing machine learning models and collaborating with various teams to enhance customer experience and business outcomes.

As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams to design and implement technical solutions, leveraging big data technologies and cloud services to solve complex problems and enhance customer experiences. Responsibilities include coding, testing, and mentoring while driving transformation in financial services.

As a Senior Data Engineer at Capital One, you will design and develop data pipelines and cloud-based solutions using Python and AWS technologies. Collaborating with agile teams, you will implement and support scalable applications while mentoring peers and staying updated with tech trends.

As a Senior Lead Data Engineer at Capital One, you will lead a team to design and develop technical solutions, focusing on big data technologies and cloud computing. You will collaborate across Agile teams, build machine learning applications, and ensure robust cloud-based solutions that enhance customer experiences. You will also mentor junior team members and stay updated on tech trends.

The Sr. Director of Data Engineering will lead teams to deliver scalable data products and platforms, ensuring best practices in data engineering. Responsibilities include developing data strategies, leading a team of over 70 engineers, partnering with Product and Design teams, and managing high expectations regarding data. The role requires innovative thinking and strong leadership skills to attract top talent and drive the enterprise's data capabilities forward.

You will provide technical leadership in developing and implementing machine learning applications at scale, optimizing data pipelines, and ensuring performance. Responsibilities include delivering ML models, collaborating with various teams, mentoring engineers, and focusing on continuous innovation and best practices in machine learning engineering.