Top Data Science Jobs in NYC

Lead the analytical optimization of marketing programs throughout the marketing lifecycle, build strong relationships with clients, collaborate across data & analytics functions, advocate for specific data needs, maintain processes and controls, and coach junior team members in campaign analysis.

Apply sophisticated machine learning methods to tasks such as NLP, speech analytics, time series predictions, and recommendation systems. Collaborate with various teams to deploy solutions into production and drive firm-wide initiatives by developing large-scale frameworks for the application of machine learning models.

As a Data Scientist Senior Associate for Wholesale Payments, you will design and implement high-quality solutions for complex business problems. You will utilize cutting-edge machine learning techniques and work with large data sets to optimize business decisions. You will also be responsible for understanding business needs, choosing ML strategies, applying ML techniques, and analyzing model performance.

The Data Science Manager at Capital One's Apollo Team will be responsible for building machine learning pipelines to extract insights from billions of records. The role involves collaborating with a cross-functional team to deliver customer-focused products using a broad stack of technologies like Python, AWS, and Spark.

Senior Manager in Data Science role at Capital One, leading a team in developing AI-powered products using Python and other technologies. Responsible for building and deploying machine learning models to analyze large volumes of data and translate complexity into business goals. Ideal candidate is innovative, technically proficient, statistically-minded, and a data guru. Requires Bachelor's Degree plus 7 years of experience in data analytics or equivalent.

Senior Associate Data Scientist at Capital One's Audit Data Science team, responsible for using machine learning and NLP technologies to manage risk, build models, and drive data-driven decision-making. Partnering with cross-functional teams to implement scalable data pipelines and visualization tools to monitor models and drive innovation. Ideal candidate is innovative and creative.

As a Senior Data Scientist on the Large Language Models team, you will contribute to building powerful features within the Datadog application using advanced generative AI technologies. You will work on projects such as fine-tuning and training infrastructure, deploying LLMs on GPU instances, and designing robust and secure infrastructure. You will collaborate with AI specialists and scientists, actively participate in research discussions, and provide insights on massive data processed in Datadog systems. A BS/MS/PhD in Computer Science, Engineering, or a related scientific field is required, along with experience in Language Models, NLP, deep learning, and ML development frameworks. Experience with Pytorch, Tensorflow, and CUDA is preferred. This is a senior-level position.

The staff data scientist will be responsible for identifying high impact business opportunities, developing and scaling machine learning models and pipelines, mentoring data scientists, and collaborating with stakeholders.