Top Senior Level Data Science Jobs in NYC
Experienced Data Scientist needed to drive marketing strategy and initiatives by using causal inference, predictive models, and data analysis. Collaborate with various teams to optimize marketing efforts and analyze customer journeys.
As a Staff Data Scientist - Marketing at Cash App, you will optimize marketing efforts, analyze campaigns, work with large datasets, and collaborate with cross-functional teams to drive business impact. Qualifications include a bachelor's or graduate degree in statistics or data science, proficiency in SQL and data visualization tools, experience with Python or R, and expertise in Causal Inference techniques.
Seeking a Deep Learning Research Scientist to push the boundaries of AI capabilities through novel generative AI systems. Fully remote position at Dessa, with a focus on impactful and transformative AI projects. Requires a Master's degree, 5+ years of deep learning experience, and proficiency in Python, PyTorch, JAX, TensorFlow, and CUDA.
Partner with a cross-functional team to deliver AI-powered products, build AI foundation models, engage in applied research, and translate complex work into business goals.
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Lead the optimization and operation of Large Language Models (LLM) aided AI products, collaborate with cross-functional teams to develop scalable LLM-based products and reusable back-end APIs, ensure APIs are scalable and performance-efficient, and foster a culture of collaboration and efficiency.
As a Data Scientist in the AML and AFC domain, you will create tailor-made solutions from complex client data using mathematical, problem-solving, and coding skills to extract valuable insights. Responsibilities include designing and implementing big data AML & AFC solutions, supporting data pipelines, collaborating on integration of big data models, and more.
Senior Data Scientist role at PwC with a focus on designing, developing, and programming methods and systems for data collection. Responsibilities include hypothesis definition, model development, validation, automation, and stakeholder communication. Requires 6 years of experience in technology and a Bachelor's degree.
Broaden scientific knowledge of antibody Fc-mediated functions in pre-clinical and clinical models. Develop and qualify immunoassays to quantify antibody Fc-mediated responses. Work collaboratively in a dynamic team environment.
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
Lead the scientific planning and execution of clinical trials in the field of Oncology, collaborate with cross-functional teams, provide mentorship to other clinical scientists, ensure quality and integrity of trial conduct, and manage multiple competing priorities.
The Director, Data Science will be responsible for executing advanced analytic techniques, creating causal inferences, predictions, and recommendations for improvements, managing projects, and working with cross-functional stakeholders.
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