Top Remote Data Science Jobs in Buffalo, NY

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The Data Scientist will develop and optimize machine learning models, perform data analysis, and collaborate with teams in a FinTech environment.

The Data Scientist will develop statistical and machine learning models, analyze datasets, design experiments, and collaborate with stakeholders to deliver insights and decision-support tools, often in AWS environments.

Lead advanced data science efforts for identity graph modeling. Collaborate across teams to enhance system performance and data quality, focusing on scalable identity solutions.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

The Data Scientist will develop tools for enhancing signature management capabilities, integrate diverse data holdings, and leverage AI/ML solutions for operational support.

Develop and improve ML models for document verification, perform error analysis, collaborate with teams, and write production-quality code.

The role involves leveraging data analytics to drive decision-making across product and growth teams, analyzing user engagement, designing experiments, and building scalable data frameworks.

The Data Scientist will develop machine learning models for credit risk, collaborate with engineers for model deployment, and optimize decisions using data analysis.

The Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

Lead the design and evolution of agentic systems for Chaos AI, optimizing LLMs in financial workflows, and mentoring engineers and data scientists.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Data Scientist III/Sr/Principal role focuses on leading complex analytics initiatives, developing analytical solutions, and enforcing coding standards within the business intelligence team, utilizing SQL, Python, and R.

As a Data Scientist, you will analyze large data sets using statistical methods, build predictive models, and collaborate with teams to derive insights that drive business solutions.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

As a Staff Data Scientist, lead experimentation efforts, apply causal inference techniques, conduct deep analyses, and mentor junior scientists to influence strategic decisions across the organization.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.

As a Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

As a Data Scientist, you'll develop predictive models and analytics tools to enhance athlete evaluation and team performance, collaborating closely with sports organizations on data-driven insights.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

Lead the development of production-grade machine learning solutions, collaborating with cross-functional teams to solve complex business problems and deliver measurable impact.