Top Hybrid Data Science Jobs in New York City, NY
As a Senior Marketing Data Scientist at Zocdoc, you will analyze marketing data, measure performance lift, forecast marketing initiatives, and conduct A/B testing to optimize strategies. You will leverage Python and R for building scalable solutions, partner with marketing and data engineering teams, and foster cross-departmental relationships to impact key business metrics.
As a Principal Marketing Data Scientist at Zocdoc, you will analyze performance data, forecast marketing initiatives, and collaborate with marketing teams to recommend strategy shifts. You will build scalable solutions using Python and/or R, design studies to measure marketing impact, and partner with data engineering to optimize data usage, all aimed at improving patient experiences.
The Principal Data Scientist at Zocdoc will focus on developing machine learning models for their Provider Recommendation System, collaborate with various teams, and lead a team of data scientists. Responsibilities include applying advanced statistical techniques, analyzing data, and mentoring team members to optimize product performance and data strategies.
The Manager, Clinical Data Scientist will oversee clinical data management and ensure the quality and integrity of data during clinical trials. Responsibilities include organizing clinical data, developing data management plans, leading projects, and collaborating with research units. The role demands strong analytical, planning, and communication skills to facilitate stakeholder collaboration and operational excellence.
The Manager, Data Science at Pfizer will drive data science initiatives to support brand strategies, collaborate with various teams to leverage AI/ML models, and contribute to commercial decision-making. Responsibilities include providing insights, framing business questions, and analyzing market performance to enhance brand tactics.
The Director of Data Science will oversee the AI Insights work at Movable Ink, manage a data team, enhance the internal reporting stack, mentor customer-facing teams, and guide the product analytics roadmap to achieve client outcomes. The role involves hands-on data analysis and driving multiple initiatives across teams.
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As a Senior Data Scientist focusing on AI research, you will conduct innovative research in generative AI and machine learning, lead the integration of advanced AI features in Datadog's products, mentor junior team members, and actively publish findings in the field.
As a Staff Data Scientist, you will design, implement, and scale features for Datadog, focusing on business questions and opportunities. Your role involves hands-on development of machine learning models, mentoring team members, and collaborating across departments to advance data science best practices.
As a Senior Data Scientist, you will work on various projects involving the fine-tuning, training, and deployment of large-scale language models. You will collaborate with engineers and data scientists to enhance the Datadog platform, develop AI-driven features, and participate in AI research initiatives while maintaining robust infrastructure and providing data insights.
The role involves assessing AI and ML model risks, challenging modeling decisions, collaborating with stakeholders, and ensuring the integrity of models across the organization. Candidates will leverage strong quantitative skills and participate in documentation, risk assessment, and benchmarking processes.
As an AI Research Scientist, you will lead innovative research in machine learning and data science, conducting large-scale experiments, developing advanced deep learning models, and publishing findings. You will collaborate with teams to refine methodologies and contribute to evolving research practices, applying the latest theoretical advancements to enhance technologies and products.
The Quantum Computing Research Scientist will push forward the area of quantum error correction, collaborating on theoretical and experimental aspects, integrating these with quantum algorithms for various applications, and documenting findings for publication.
As a Quantum Computing Research Scientist at JPMorgan Chase, you will advance quantum error correction through collaboration on algorithm-specific corrections and experimental demonstrations, document findings, and contribute to intellectual property.
The role involves advancing the field of quantum algorithms, providing research solutions for internal projects, collaborating with quantum researchers, and documenting findings in scientific papers. The scientist will also focus on applications in optimization, stochastic modeling, numerical analysis, and machine learning.
As an Applied AI Scientist at ZS, you will develop advanced algorithms for complex problems, execute statistical techniques on large datasets, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
Lead a team of data scientists in developing machine learning models to enhance subscription and monetization strategies across Disney's streaming platforms. Collaborate cross-functionally to analyze data, derive insights, and translate findings into actionable business strategies, while mentoring team members to foster a learning environment.
The Data Scientist II will focus on building and scaling econometric models, quantifying ROI on marketing investments, analyzing data to support marketing strategies, and collaborating with data engineering teams. Responsibilities include automating models, producing insights for marketing, and developing dashboards to convey performance metrics across services and demographics.
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As a Senior Data Scientist, you will analyze complex data sets relating to private markets and alternative investments, develop data models, create visualizations, and collaborate on data-driven products. You will also leverage SQL and Python to extract insights from large volumes of data, and work on innovative strategies with the Product and Machine Learning teams.
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