Top Hybrid Data Science Jobs in NYC
As an Associate Scientist at Pfizer, you will perform qualitative and quantitative analyses of organic, inorganic compounds, or biologics to support drug development. You will be responsible for ensuring the identity, purity, and homogeneity of chemical and physical properties during the development process. Additionally, you will collaborate with project teams, prepare technical documents, and contribute to the advancement of Pfizer's mission to bring breakthrough therapies to patients worldwide.
Seeking a Senior Manager in Data Science and AI to lead the execution and interpretation of AI/ML models, frame problems, and shape solutions with clear communication of data-driven insights. The role is dynamic, fast-paced, and highly collaborative, covering a broad range of strategic topics critical to the business.
Vice President role in the Machine Learning Scientist - NLP team. Responsible for applying advanced ML techniques to NLP, speech analytics, time series, reinforcement learning, and recommendation systems. Collaborate with various teams to deploy solutions into production and drive initiatives by developing large-scale frameworks for ML models.
Develop and refine decisioning and pricing models, evaluate alternative data sources, lead operational risk reporting, supervise data analysis for loan products, apply data science approaches, mine complex data, validate data accuracy, interact with C-suite executives, lead a team of data scientists, and use project management tools.
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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 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.
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.
The Data Scientist will be responsible for managing the full-cycle of fraud fighting, conducting research, devising techniques, supporting experiments, and actively participating in team responsibilities at HUMAN's Media Research team.
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