Top Data Science Jobs in Buffalo, NY

As a Senior Data Scientist at TRM, you'll develop models and algorithms to combat blockchain fraud, collaborate with teams, and create interactive visualizations to aid law enforcement. You'll leverage your analytical skills to understand complex data structures and contribute to improving financial security.

Lead the data discipline for Wolf Games by designing a scalable data ecosystem that drives AI systems and enhances player experiences.

Lead the design and implementation of machine learning models for demand forecasting in hospitality, focusing on Bayesian modeling and model deployment.

Design and validate machine learning models for financial crime compliance, improve data pipelines, and analyze large datasets to mitigate risks in the crypto and fiat ecosystems.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

The Senior Data Scientist will evaluate revenue growth opportunities, develop analytical frameworks, produce reports, and ensure data accuracy for decision-making.

As a Senior Data Scientist, you will evaluate revenue growth opportunities, develop analytical frameworks, create executive reports, and ensure data accuracy, influencing business decisions through strong technical execution and communication.

As a Senior Data Scientist, you will lead data initiatives by setting goals, architecting data models, enhancing data quality, and mentoring team members to drive impactful business decisions at SmithRx.

The Data Scientist II will develop statistical models and ML solutions to enhance workforce planning and optimize resource allocation. Responsibilities include analyzing data, deploying algorithms, and collaborating with cross-functional teams to meet business needs.

As a Senior Data Scientist, you will develop predictive models, enhance ML algorithms, and collaborate across teams to improve business strategies.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.

The Senior Data Scientist collaborates with the People Analytics team to develop statistical models and predictive analytics improving Engineer productivity and decision-making.

As a Senior Data Scientist, you will analyze blockchain data, uncover insights, mentor peers, and collaborate to improve attribution models while addressing global security threats.

As a Senior Data Scientist, you will drive product analytics and experimentation, develop metrics, and collaborate with cross-functional teams to inform strategic decisions.

The Senior Data Scientist develops and maintains advanced analytics for commercial lending, focusing on predictive models, risk management, and data-driven insights. Responsibilities include automating workflows, building data visualizations, and mentoring analysts.

The role involves developing ML models for anomaly detection, time series forecasting, and predictive analytics for sewer infrastructure. Collaboration with engineering and data teams is essential to deliver insights effectively.

As a Senior Data Scientist, you will lead advanced analytics product implementations, collaborate with teams to analyze blockchain data, and develop models to combat financial crime.

The Sr. Cloud Engineer will develop and manage data pipelines, optimize cloud infrastructure, and collaborate with teams to implement new features, focusing on real-time machine learning and secure data storage solutions.

The Senior Data Scientist will develop intelligent decisioning systems focused on optimizing fulfillment operations, using machine learning and operations research techniques. This role involves collaboration across teams and addressing complex logistical challenges through advanced modeling.

Lead the development of intelligent decision engines modeling customer intent in real-time using advanced data science techniques such as causal inference and machine learning. Collaborate with cross-functional teams to optimize systems for search, fulfillment, and customer experience.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

The Senior Data Scientist will develop AI/ML algorithms for space data insights, lead projects, collaborate across teams, and present findings at conferences.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

The Senior Data Scientist leads data science and machine learning projects on Microsoft Azure, mentors team members, drives innovation, and enhances client relationships while implementing advanced analytics solutions and MLOps best practices.