Top Senior Level Data & 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.
Seeking an experienced Business Analyst to support key initiatives impacting wealth management business. Responsibilities include eliciting and documenting business requirements, understanding technical dependencies, and envisioning creative solutions. Must have strong financial services industry background and wealth management knowledge.
As a Data Engineer, you will work in a fast-paced environment on exciting assignments focused on leading-edge technologies and data management standards. Responsibilities include understanding stakeholders' data needs, mentoring junior engineers, and improving data engineering practices.
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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.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, optimize decisioning pipeline, experiment with modeling techniques, and partner cross-functionally with teams.
As a Staff Data Scientist in Marketing at Cash App, you will optimize marketing efforts, analyze A/B experiments, and provide actionable insights to drive business success. You will collaborate with cross-functional teams to enhance the customer experience and drive growth. Join us to redefine the world's relationship with money!
Join Cash App as a Senior Data Scientist in the Support organization. Analyze large datasets, drive meaningful change in customer interactions, and design A/B experiments. Partner with operations and cross-functional teams to improve customer experiences. Must have a Bachelor's degree with 5+ years of experience or a graduate degree with 2+ years of experience in statistics, data science, or a STEM field. Proficiency in SQL, data visualization tools, scripting languages, and statistical concepts required.
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.
Apply sophisticated machine learning methods to tasks like natural language processing, speech analytics, and recommendation systems. Collaborate with multiple partner teams to deploy solutions into production and drive firm-wide initiatives by developing large-scale frameworks for machine learning models.
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.
Build cloud-based AI/ML solutions for enterprise services, collaborate with a team to produce quality software, work on detailed requirements and deliver high-quality solutions to users.
The Principal Data Architect is responsible for executing the vision and strategy for the organization's use of data, defining and maintaining the data architecture roadmap, ensuring alignment with business requirements and data policies, and choosing the toolsets required for data management. They work closely with business stakeholders and data teams to deliver secure, available, and accurate data solutions.
Squarespace is seeking a Data Governance Lead to standardize data management practices and strategy. Responsibilities include leading data governance initiatives, driving cultural change, and collaborating with stakeholders to leverage data for business growth. This is a hybrid role based in NYC. Benefits include medical plans, family leave, equity plan, and more.
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.
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