Top Data Science Jobs in NYC
As a Senior Data Scientist at Square Banking, you will partner with various teams to shape and execute strategies to expand credit eligibility, enhance loan profit, and improve user experience on a global scale. Responsibilities include influencing product roadmap, leading A/B testing, and designing business metrics for lending products.
The Senior Data Scientist at Juice Media is responsible for developing models and algorithms to predict marketing outcomes and understand the impact of advertising investments across multiple channels. They will provide analytical support to drive business insights for marketing and advertising campaigns.
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Join Atlassian as a Senior Data Scientist in the Cloud Operations Products team. Use advanced statistical analysis and machine learning to shape product development, identify opportunities, and ensure value for customers and Atlassian. Collaborate with cross-functional teams and drive adoption of data products. The ideal candidate has 5+ years of data science experience, proficiency in SQL, Python, and R, and strong skills in telling stories with data.
Featured Jobs
Join Grammarly as a Data Scientist in the Enterprise Data Science team, supporting the Enterprise business in marketing, revenue operations, sales, product engineering, and customer success. Work on impactful projects using data science methods to optimize the product experience and lead pipeline. Collaborate with the data team to drive outcomes and inform strategies for growth.
Develop advanced algorithms and execute statistical techniques on large data sets. Evaluate emerging datasets and technologies, contribute to thought leadership, and have strong analytical and quantitative skills.
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 Senior Applied AI Scientist will be responsible for building, evaluating, and shipping products that use AI models. They will develop Gusto Assistant, improve LLMs, collaborate with AI/ML infrastructure teams, and research novel AI techniques.
Lead a team of data scientists, data engineers, and machine learning engineers to develop and deploy AI and Data products for multiple client use cases. Stay updated on the latest ML and AI advancements, design and implement innovative algorithms, ensure DataOps and MLOps practices, and comply with data privacy regulations.
The Senior Data Scientist at Nayya is responsible for developing and maintaining machine learning systems, particularly in the areas of recommender systems and Natural Language Processing (NLP). They will work closely with stakeholders to define business requirements and deploy AI solutions into production. The role requires strong proficiency in Python and machine learning libraries such as TensorFlow and Pytorch.
Assistant Vice President Data Engineer role at iCapital, responsible for building data infrastructure, making data-driven decisions, and automating data processes. Collaborate with sales and product teams to improve business profitability. Requires Bachelor's degree and 1-4 years of experience in open-source technologies, Salesforce development, and database management.
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