Top Senior Level Data Science Jobs in NYC, NY
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 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 Principal Data Scientist will own the marketplace health by defining metrics, conducting analyses, building auction mechanics, and collaborating with R&D and Sales for growth strategy and product roadmap. Responsibilities include monitoring marketplace metrics and driving growth through deep dives on impacts for high-stakes launches.
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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.
As a Senior EDI Analyst, you will monitor and improve EDI systems that support procure-to-pay and order-to-cash processes, troubleshoot issues, and participate in cross-functional teams for new EDI document launches.
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 a Machine Learning Scientist - Speech AI and NLP, you'll develop and implement sophisticated machine learning models for natural language processing and speech analytics, collaborating across teams to deliver impactful software solutions. You'll design scalable data processing pipelines and ensure high-performance model production while driving business optimization through analytical insights.
The Senior Associate, Data Scientist will leverage machine learning technologies and work with a cross-functional team to build and deploy models that improve credit card customer acquisitions for Capital One. Responsibilities include collaborating with engineers and analysts, developing machine learning models, and translating complex data insights into actionable business goals.
As a Manager, Data Scientist, you will lead the development of generative AI-based solutions for financial data analysis. Collaborate with a cross-functional team, fine-tune large language models, manage data annotation projects, and optimize data and model pipelines to deliver impactful products.
As a Principal Data Scientist, you will partner with cross-functional teams to build machine learning models, leveraging technologies like Python, AWS and Spark to analyze large datasets and uncover insights while managing the complexities of data.
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.
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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.
The AI & GenAI Data Scientist will leverage advanced analytics and AI techniques to solve complex business problems for clients. This includes building and implementing AI solutions, collaborating with client teams, and managing the daily operations of analytics engagements. The role requires strong problem-solving skills, technical expertise, and the ability to communicate effectively with clients.
This role involves utilizing advanced analytical techniques to derive insights from large datasets, leading and mentoring teams, managing AI and GenAI solution development, and collaborating with clients to optimize operations and solve business problems.
As a Senior Manager in PwC Intelligence, you will lead teams to address complex business challenges, leverage statistical knowledge, and develop innovative solutions. You will support client engagements and contribute to service offerings by utilizing data analysis, machine learning, and software engineering practices, enhancing operations and client relationships.
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