Top Data Science Jobs in New York City, NY
The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
The Data Scientist, Product Development will enhance data quality and usability through the design of systems and tools, engage with cross-functional teams to define product requirements, and leverage statistical techniques to improve Verantos' real-world evidence platform.
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Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.
The Principal Scientist will manage and oversee non-clinical and clinical biomarker bioanalysis, including method development, validation, and interactions with specialty labs. Responsibilities include collaboration with cross-functional teams, maintaining quality assurance, and contributing to the development of novel therapeutics. This role requires a strong background in bioanalytics, laboratory management, and the drug discovery process.
As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.
The Data Scientist-I position involves analyzing large datasets to support business decisions in the pharmaceutical industry. Responsibilities include designing experiments, developing analytic models, collaborating with stakeholders, and translating business requirements into data models. The role requires creativity in problem-solving and effective communication of findings.
As a Data Scientist II, you will develop methods to consolidate and analyze large datasets to generate insights for management. You'll design statistical models, advise on emerging trends, and collaborate with teams to implement strategies effectively.
The Field Application Scientist will support sales by providing technical expertise, conducting product demonstrations, and delivering training on LI-COR Biotechnology products. They will manage multiple projects, assist customers with technical queries, and maintain relationships to ensure customer satisfaction.
The Manager of Marketing Data Science will spearhead initiatives in data utilization, predictive modeling, and machine learning to enhance marketing strategies and optimize performance for Dow Jones' Enterprise clients. This role involves collaborating with technology and marketing teams to establish robust data infrastructures and ensure data governance, ultimately driving actionable insights and improving customer retention.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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