Top Data Science Jobs in New York City, NY
As an AI Research Scientist, you will lead the design and implementation of large-scale experiments, enhance existing products using advanced machine learning techniques, and publish research findings. You'll collaborate with partners on research initiatives and refine methodologies under minimal supervision.
As a Manager, Clinical Data Scientist at Pfizer, you will oversee clinical data management and ensure accurate, consistent data reaches medical departments. You will lead projects, promote standard operating procedures, provide guidance on data visualization tools, and liaise with research and service providers to ensure high-quality data management. Your role includes central monitoring and communication planning.
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The Senior Analyst, Marketing Science & Analytics will analyze and optimize marketing investments, evaluate campaign effectiveness, develop measurement strategies, and collaborate with various teams to ensure proper measurement of marketing spend. The role involves reporting on marketing performance and promoting experimentation to identify growth opportunities.
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The Data Science Director at OpenX will lead the Machine Learning team, guiding the development of ML products and collaborating with cross-functional teams to execute the ML team's roadmap, ensuring innovative and scalable solutions are delivered on time.
As a Senior Principal Data Scientist, you will work with the People Insights team at Atlassian to analyze and provide insights on strategic and operational issues, collaborate with various stakeholders, and lead projects that impact business strategy and performance, all while mentoring team members.
The Senior Credit Manager/Senior Staff Data Scientist will analyze data to propose credit risk strategies for lending products, specifically focusing on Personal Loans. Responsibilities include developing underwriting strategies, monitoring risk trends, collaborating with cross-functional teams, and driving value through data-driven decision-making.
The Senior Analyst in Revenue and Pricing will support data-driven business intelligence through revenue analysis, pricing model development, and actionable insights delivery. Responsibilities include conducting complex revenue analyses, creating pricing models, leveraging technical skills for dashboard creation, and identifying opportunities for operational improvement. The role requires building relationships with stakeholders and communicating findings effectively.
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As a Senior Data Scientist, you will analyze complex data sets related to private markets and alternative investments, develop models, create visualizations, and collaborate with teams to build data-driven products. You will also leverage advanced SQL and work with unstructured data to extract insights.
As a Senior Data Scientist at Grubhub, you'll lead efforts in creating scalable experimentation processes, design and evaluate experiments, support data-driven decision-making, and act as a thought leader in experimentation methodologies while collaborating with multiple teams.
Notion is seeking a Data Scientist for their product data science team. The role involves transforming data into evidence to direct product decisions, working closely with engineering teams, and impacting the development of Notion through various data-related tasks. Key responsibilities include applying statistical inference, defining problems and opportunities, designing experiments, and partnering with product, engineering, and marketing teams.
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