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Top Artificial Intelligence Data Science Jobs in New York City, NY
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The Senior Data Scientist at Canoe Intelligence will analyze complex datasets related to private markets, develop data models, create visualizations, and collaborate with teams on data-driven products. The role also involves writing reports and extracting insights from unstructured data, requiring expertise in SQL and Python, alongside strong statistical and machine learning knowledge.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical and data mining techniques on large datasets, evaluate emerging datasets and technologies, and contribute to thought leadership in the firm. Your role will focus on building efficient analytic solutions and innovative products that impact various industries.
As a Data Scientist in Product, you will collaborate with engineering and product teams to leverage data for impactful product decisions. You'll analyze user interactions, design experiments, build predictive models, and create dashboards to monitor key metrics, influencing product development for Notion.
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The Research Scientist will develop state-of-the-art NLP models and publish research, while collaborating with a team of scientists and engineers. Responsibilities include reading current research, writing clean code, and contributing to the engineering culture at Kensho, an AI innovation hub.
As a Senior Data Scientist in AI Applied Research at Datadog, you will conduct research in Generative AI and Machine Learning, implement advanced models, collaborate with teams for product integration, mentor junior staff, and publish findings. Your role will bridge cutting-edge research with practical applications in the Datadog platform.
As a Senior Data Scientist at Spring Health, you'll drive data product development to illustrate the impact of mental health solutions on organizations, enhancing customer experience through analytics and predictive modeling. You'll collaborate with teams to refine product roadmaps and deliver actionable insights to customers, while ensuring high data quality and consistency.
The Director, Migraine RWE Scientist leads the generation of real-world evidence to support drug development and market strategy, collaborating across teams to develop insights and protocols. Responsibilities include mentorship, project oversight, and representing Pfizer in industry events.
The AI & GenAI Data Scientist will develop predictive models, conduct statistical analysis, and create data visualizations to solve complex business problems. Responsibilities include building AI solutions, collaborating with clients to understand business challenges, and designing AI architectures.
The Principal Data Scientist will own the marketplace health by defining metrics, conducting analyses, building auction mechanics, and collaborating with R&D and Sales for growth strategy and product roadmap. Responsibilities include monitoring marketplace metrics and driving growth through deep dives on impacts for high-stakes launches.
As a Variant Scientist, you will classify somatic and germline variants, analyze clinical molecular data, generate high-quality reports, and perform quality control on molecular reports. You will also curate relevant scientific findings and support assay improvements while potentially training junior team members.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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