Top Senior Level Analytics Jobs in NYC
Seeking a Director of Data Science to lead a team in leveraging data for business decisions, optimizing marketing strategies, and driving business growth through analytics. Responsibilities include developing quantitative models, building automated reporting, and monitoring marketing campaigns.
Individual contributor role in the Emerging ML team at Capital One, focusing on research and development of new technologies within Artificial Intelligence. Responsibilities include building machine learning models, partnering with business and product teams, and writing software to analyze numerical and textual data.
The Staff Analytics Data Engineer in the Commercial Analytics & AI organization at Pfizer is responsible for leading and owning strategic data projects, architecting scalable data pipelines, solving complex data challenges, collaborating with senior leadership, and mentoring teams. The role involves working on data pipeline development and optimization as well as building test automation tools and frameworks for testing pipelines.
The Staff Analytics Data Engineer role at Pfizer involves leading and owning strategic data projects, designing and building scalable data pipelines, solving complex data challenges, collaborating with senior leadership and business partners, and mentoring teams in data engineering principles and technologies.
Pfizer is seeking a Sr. Director Data Science to lead a team in commercial analytics and data science. Responsibilities include overseeing therapeutic area analytics, driving efficient analytics processes, and implementing data-driven strategies to impact business outcomes.
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Design, produce, and distribute timely and accurate performance reports and calculations using the Advent APX System. Assist with reconciliation of performance discrepancies, audits, and stay abreast on reporting standards. Process transactional data from multiple sources daily.
Participate in the validation of credit risk capital and loss forecasting models for wholesale credit products. Review model specification, assumptions, inputs, testing, numerical aspects, and performance metrics. Measure model risk and liaise with business stakeholders. Work on-site with 40% telecommuting option. Requires a Master's degree plus 5 years of experience or a Ph.D. plus 2 years of experience in related roles. Must have expertise in programming languages, statistical modeling, and risk management related to regulations like Basel or CCAR.
The Data Management Lead will be responsible for building and managing a data platform to provide stakeholders with a one stop shop for their data needs. They will work with Technology and Business stakeholders to onboard and manage data sets, streamline data processes, and modernize the data platform. The ideal candidate has experience in technology, data management, product management, and/or finance within the financial services industry.
Responsible for ongoing monitoring and surfacing of new threats in the digital advertising ecosystem. Analyze and investigate impression level data to conceptualize stories and write research reports.
Responsible for ongoing monitoring and surfacing new threats in the digital advertising ecosystem using data analysis and data mining skills. Analyzing impression level data, writing reports, and collaborating with Marketing for distribution. Qualifications include a Bachelor's or Master's degree in relevant fields and experience with ad tech.
The Director of Enterprise Applications is responsible for strategy and operational oversight of the SEO core application portfolio while managing and leading Salesforce operations.
Seeking an experienced Director of Video Quality Analytics to lead a team in ensuring optimal video playback experiences for customers. Responsible for monitoring key video playback KPIs, defining data collection strategy, translating data into insights, and collaborating with cross-functional teams to improve streaming performance.
The Director, Advanced Analytics will lead a team to define and execute data modeling processes, create algorithms, predictive models, and analysis related to clinical trial operations. Responsibilities include collaborating with stakeholders, developing advanced analytics, building prototypes, and ensuring data science investments are maximized.
Manage SAP SuccessFactors data migration and integration implementations, lead client needs identification, configuration and implementation of SAP SuccessFactors/HCM solutions, develop custom solutions using JAVA and Python programming languages on SAP Business Technology Platform, and provide specialized SAP SuccessFactors product knowledge to clients.
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