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Top Data Science Jobs in Buffalo, NY
As a Senior Associate in the Risk Analytics and Modeling team at PwC, you will utilize quantitative and analytical expertise to develop or validate models for credit risk, fraud detection, and other areas. Your role involves data interpretation, client relationship management, and the application of advanced analytics techniques to solve complex business problems.
As a Senior Data Engineer at Red Canary, you will develop and optimize AI/ML models to detect cybersecurity threats using large datasets. You'll collaborate with various teams to integrate AI-driven insights and refine data processing pipelines, while fostering a culture of innovation and mentoring peers.
The Senior Scientist in Quantum Applications Chemistry will develop quantum chemistry algorithms, collaborate on hybrid quantum workflows, and engage with clients to solve complex problems using IonQ's quantum computers. This role requires strong expertise in computational chemistry and programming, as well as the ability to communicate technical concepts effectively.
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As a Data Scientist, you will analyze large datasets, build predictive models, and collaborate with engineering teams to implement data-driven solutions. Key tasks include cleaning data, developing statistical models, visualizing trends, and leveraging machine learning frameworks.
The Sr Data Scientist will develop and implement AI solutions, collaborate on the design of AI/ML models, and conduct research to enhance AI product services. Responsibilities include optimizing NLP and CV models, overseeing cloud-native AI deployments, and ensuring quality and accuracy of models through best practices.
The Research Engineer role involves innovating and solving key challenges in decentralized oracle technologies. Responsibilities include defining research agendas, conceptualizing and designing systems, and enhancing Chainlink's visibility in the scientific community.
As a Staff Data Scientist at Instacart, you will drive engagement data science work focusing on product strategy, impact sizing, impact measurement, and improving product features with intelligent systems. You'll collaborate across teams to align on goals and mentor juniors while leveraging data to influence product development.
As a Data Scientist Lead Consultant, you will lead the development of machine learning algorithms aimed at optimizing ad platforms, analyzing large datasets, and influencing business strategies. Your role includes prototyping machine learning solutions, collaborating with cross-functional teams, and applying best practices in data science. Your contribution will focus on predicting key metrics and improving advertising effectiveness.
The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.
As a Data Science Co-op at Jellyfish, you will develop algorithms to analyze software development practices, contribute to marketing research, learn machine learning model deployment, create analyses for customers, and explore research in computer science and applied mathematics.
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