Top Hybrid Data Science Jobs in NYC
The Senior Data Scientist, Algorithms at Bowery builds production-facing data products to automate and optimize agricultural and operational functions across indoor vertical farms. Responsibilities include designing and implementing machine learning models, optimizing farm operations, and analyzing historical data for forecasting yields and growth potential.
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 applied algorithms researchers with experience in quantum-inspired or randomized algorithms for optimization and machine learning. Opportunity to work on cutting-edge research projects in collaboration with a leading financial institution.
Featured Jobs
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.
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.
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.
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.
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