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Top Principal Data Scientist Jobs in NYC, NY
The Data Scientist at adMarketplace will work on ensuring the efficiency of machine learning models in a search ads environment. Responsibilities include monitoring model performance, collaborating on model development, identifying data issues, conducting A/B tests, and advocating best practices in ML Ops. The role emphasizes continuous improvement and collaboration across teams to optimize machine learning infrastructure.
As a Principal Associate, Data Scientist in Fraud Intelligence, you will build and manage machine learning models, leverage technologies such as Python and AWS to analyze data, and work with a cross-functional team to protect customers from fraud.
As a Data Scientist Lead, you will manage advanced analytics projects across various teams, focusing on sales and operations forecasting, segmentation, and presentation of insights. You will lead a team in developing forecasting models and collaborate with different departments to enhance analytics and insights processes.
The Lead Data Scientist will collaborate with various teams to develop models, perform statistical analysis, and create visualizations to enhance decision-making. Responsibilities include designing and improving machine learning models, mining large datasets, and communicating actionable insights to stakeholders.
As a Data Science Associate, you will develop AI-driven models and cost-based analytics solutions, enhancing efficiency in business processes. You'll collaborate on projects that integrate data science and business expertise, utilizing tools like Python and Tableau to create data pipelines and dashboards that support insights and decision-making.
Grubhub is seeking a Data Scientist to work in the Discovery and Ads teams, focusing on providing high-quality merchant recommendations and ads. Responsibilities include creating and validating models, proposing algorithmic approaches, designing A/B tests, and driving technology best practices. The role involves collaboration with data scientists, engineers, and product teams to improve recommendations and search functionalities. The Data Scientist will also analyze user engagement and business performance through data-driven insights.
As a Senior Data Scientist at Snap Inc, you will analyze data to provide insights that inform business and product decisions. Your role involves collaborating with cross-functional teams, conducting statistical analyses, and presenting findings through visuals and reports to drive product optimizations. You will leverage your expertise in quantitative analysis and machine learning to uncover new product opportunities and improve existing ones.
As a Senior Data Scientist at Grubhub, you will lead efforts in building scalable experimentation processes, define evaluation metrics, conduct analyses, and collaborate with cross-functional teams. Your role involves leveraging the Grubhub Experimentation Platform and delivering data-driven insights for key product decisions, focusing on experimentation and causal inference in the Diner & Fulfillment area.
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The Senior Healthcare Data Scientist at Particle Health will analyze healthcare data, develop insights, and lead efforts in data product creation. Responsibilities include collaborating with product and engineering to refine analytics strategies, identifying key outcomes in patient-level data, and contributing to AI and NLP initiatives.
The role involves partnering with cross-functional teams to build and implement machine learning models, utilizing a variety of technologies to analyze large datasets, and applying statistical methods for model development. The Data Scientist will also translate complex analyses into actionable business insights and improve customer management strategies.
As a Senior Data Scientist at Kargo, you will lead efforts in auction-based models and real-time bidding systems, maximizing client ROI through effective data science strategies, collaboration, and innovation within adtech. Responsibilities include enhancing modeling infrastructure, collaborating across teams, and presenting insights to leadership.
As a Senior Manager Data Scientist at Capital One, you'll lead a team to develop machine learning models for customer management, collaborating with data scientists, software engineers, and product managers, overseeing the model life cycle from development to implementation.
As a Data Scientist within the Asset Management Risk team, you will develop and deliver data science solutions, manage project lifecycles, and integrate various data types to enhance risk insights. You will collaborate with stakeholders, design scalable solutions, and use data visualization to communicate findings to senior leaders.
The role involves leading data engineering initiatives, designing robust data infrastructure, developing data pipelines, and mentoring team members. It requires collaboration with stakeholders to create effective data solutions and ensuring compliance with data governance policies.
As a Senior Associate in AI and GenAI Data Science at PwC, you'll leverage advanced analytics techniques and programming skills to develop AI solutions, optimize operations for clients, and manage data-driven decision-making processes. You'll collaborate with clients to understand their challenges and design appropriate analytical models while overseeing a global data analytics team's operations.
The Data Scientist will evolve product databases, forecast demand trends, and develop analytic solutions. Responsibilities include maintaining data quality, supporting product launches, performing data analysis for business decisions, and contributing to capacity planning models and tools.
As a Staff Data Scientist, your role will involve leveraging data science techniques to improve mental health services, utilizing analytics to derive insights from healthcare data, and collaborating with cross-functional teams to drive business decisions based on empirical findings.
As a Senior Associate Data Scientist, you'll lead projects using advanced data science methods, including Natural Language Processing and Computer Vision. Collaborate with teams to develop machine learning models, analyze structured and unstructured data, and innovate with generative AI technologies to enhance customer servicing applications.
As a Principal Associate in Data Science at Capital One, you will work on cutting-edge projects using transformer models, large language models, and multi-modal technologies to analyze unstructured data sources like call transcripts and document images. You will lead data annotation projects, collaborate with business stakeholders, and leverage a variety of technologies including Pytorch, Hugging Face, and AWS.
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 Senior Data Scientist, you'll lead model-driven projects aimed at extracting insights from customer communications, utilizing generative AI, deep learning, and large-scale data annotations to enhance the customer experience. Collaborate with various teams to build effective machine learning solutions while communicating with stakeholders to align data insights with 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 Senior Associate Data Scientist, you'll develop insights from credit bureau data, partner with cross-functional teams, build and evaluate machine learning models using advanced technologies, and present findings to senior leadership while improving production infrastructure.
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.
As a Senior Data Scientist at Justworks, you will lead analytics projects to drive product metrics and user engagement. Responsibilities include conducting analyses to enhance user experience, defining KPIs, performing A/B tests, and collaborating with cross-functional teams to present insights that influence business decisions.
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