Top Hybrid Data Science Jobs in NYC
Join Cedar as a Data Scientist II in the Commercial Analytics team, leveraging data science and analytics to drive actionable insights for healthcare clients. Collaborate cross-functionally to communicate insights and maximize client value. Work with complex data and visualization tools to address ambiguous problems.
Optimizing data architecture within R&D, identifying opportunities for automation, collaborating with stakeholders, researching and recommending automation tools, developing prototypes, integrating automation solutions, providing guidance and support, monitoring performance, staying updated on emerging trends, and identifying opportunities for process improvement and automation.
Lead the optimization and operation of Large Language Models (LLM) aided AI products, collaborate with cross-functional teams to develop scalable LLM-based products and reusable back-end APIs, ensure APIs are scalable and performance-efficient, and foster a culture of collaboration and efficiency.
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Broaden scientific knowledge of antibody Fc-mediated functions in pre-clinical and clinical models. Develop and qualify immunoassays to quantify antibody Fc-mediated responses. Work collaboratively in a dynamic team environment.
Lead the design, development, and deployment of machine learning models and algorithms for fintech domain challenges using VertexAI. Analyze diverse datasets, develop predictive models, maintain scalable ML pipelines, and collaborate with engineering teams. Requires 7+ years of experience and proficiency in Python, TensorFlow, scikit-learn, Google Cloud Platform services, and Scala programming.
Looking for Data Scientists to bring predictive modeling to the clinical development ecosystem by building ML predictive models for study design decisions. Responsibilities include orchestrating model pipelines, scaling ML algorithms, building ML Engineering platforms, and implementing ML Ops.
Join the TIDAL Data Science & Analytics team to shape the future of streaming and artist products through data-driven decision-making. Collaborate with cross-functional partners to drive impact for users and the business. Remote-friendly role in the United States Eastern Time Zone.
Apply expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful data insights for informed business and product decisions. Collaborate with cross-functional teams to optimize product performance and adoption. Design and track core metrics to analyze product trends and opportunities.
Seeking a Senior Advertising Data Scientist at Philo to work on ad auction and placement optimization problems, lead the team in balancing monetization and quality of experience, and build data solutions for the streaming service. Responsibilities include modeling, running experiments, analyzing customer value, and market research.
Design data-driven strategies for business-facing products, provide guidance on data science capabilities, collaborate with teams to shape product development, communicate data science concepts to stakeholders.
Top hybrid Companies Hiring Data + Analytics Roles
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