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Top Principal Data Scientist Jobs in NYC, NY
The Principal Data Scientist will build data acquisition pipelines, preprocess and assess data quality, utilize natural language processing techniques, and implement various data science models. Responsibilities include generating data visualizations, communicating modeling results, and deploying scalable models within the company's infrastructure to enhance data-driven solutions.
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.
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 will work with a cross-functional team to improve commercial banking through data-driven solutions, develop machine learning models, mine insights from large datasets, and translate complex data into actionable business goals.
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The Senior Principal Data Scientist will work with the People Insights team to translate business needs into data-driven analytical projects, delivering actionable insights to drive decision-making. This role involves collaboration with various scientists and stakeholders, mentoring team members, and presenting complex analyses in an understandable manner to senior leaders.
As a Principal Data Scientist, you will collaborate with cross-functional teams to deliver AI-powered products, utilizing technologies like Python and PyTorch for data analysis and model deployment, while leveraging your expertise in machine learning and statistical modeling.
As a Principal Data Scientist, you'll be part of a cross-functional team developing AI/ML solutions for personalized customer experiences. Responsibilities include building machine learning models, analyzing data, and collaborating with engineers and product managers to deliver insights that enhance financial decision-making for customers.
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.
Featured Jobs
As a Principal Data Scientist in the Emerging ML team at Capital One, you'll develop cutting-edge machine learning models leveraging large data sets. You'll partner with various teams to execute experiments that enhance customer experiences and outcomes, while also refining integration patterns for advanced models.
The Principal Associate Data Scientist at Capital One will innovate and maintain data solutions to tackle business challenges. Responsibilities include developing data expertise, deep analysis on credit bureau data, and presenting insights to senior stakeholders. This role requires a blend of technical and analytical skills to enhance data-driven decisions.
As a Principal Associate, Data Scientist at Capital One, you'll collaborate with cross-functional teams to develop and deploy machine learning models that enhance customer management decisions. You will leverage technologies like Python and AWS to analyze large datasets, translate complex problems into business solutions, and innovate on data-driven strategies.
As a Principal Associate, Data Scientist, you'll design and implement machine learning models for the US Card Data Science team, collaborating with data engineers and product managers. Your role involves leveraging a broad tech stack to analyze large data volumes and improve decision-making processes in credit card underwriting.
As a Data Scientist at Capital One, you will lead the development of generative AI solutions, working with a cross-functional team to analyze and interpret vast amounts of data. Responsibilities include building machine learning models and translating complex technical work into business objectives.
As a Data Scientist at Capital One, you will leverage analytic and technical skills to innovate data solutions, develop credit bureau data insights, perform deep analysis, and maintain strategic partnerships to support underwriting decisions in the US Card sector.
As a Principal Associate Data Scientist at Capital One, you will develop machine learning models to prevent application fraud and enhance customer experience, working with a diverse team and leveraging a broad technology stack to analyze large data sets.
As a Principal Associate Data Scientist at Capital One, you will collaborate with data scientists and software engineers to build machine learning models and analyze large datasets. Your role includes delivering insights, improving decision-making systems, and translating complex analytical results into actionable business strategies.
As a Principal Associate Data Scientist, you will develop next-generation Card risk models, enhance business performance, and invest in infrastructure tools. Collaborating with cross-functional teams, you'll leverage technologies like Python and AWS to build machine learning models and drive business improvements while supporting professional development and work-life balance.
As a Data Scientist at Capital One, you will partner with cross-functional teams to deliver insights from large volumes of data using machine learning and technology. You will build predictive models, translate complex data into business goals, and stay updated on emerging technologies.
The Sr. Data Scientist will lead the development of NLP models and work with various teams to enhance audience targeting in adtech. Responsibilities include semantic search, model implementation, and collaboration with stakeholders to align data science projects with business needs.
As a Senior Data Scientist in Consumer Identity ML at Capital One, you will explore customer behavior patterns, develop real-time models for customer needs, and ensure data accuracy to improve customer experiences and prevent fraud, working with large datasets and collaborating with various teams.
As a Data Scientist, you'll analyze data to provide insights that enhance operational efficiency and member satisfaction for Peloton's Supply Chain and Global Member Support. You'll collaborate with cross-functional teams, build predictive models, create dashboards, and communicate recommendations to inform business strategies.
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.
As a Lead Data Scientist, you will develop and optimize models to identify credit risk, predict customer churn, and improve retention and marketing spend efficiency. You will leverage rich data to enhance financial services for underserved customers and collaborate closely with Product and Engineering teams.
The Data Scientist on the Product Analytics team at Peloton will analyze engagement metrics for digital apps, lead A/B testing, and collaborate cross-functionally to enhance user experience and retention. This role involves reporting, defining KPIs, and utilizing data science methodologies to influence product decisions.
As a Data Scientist III at Cedar, you will leverage AI to develop features that enhance patient billing clarity and streamline healthcare workflows. Responsibilities include creating curated datasets, designing AI solutions, and collaborating across teams to drive business value through data insights.
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