Top Remote Data Science Jobs in Buffalo, NY

The Data Scientist will enhance the company's data science and machine learning capabilities, driving statistical modeling, improving product recommendation systems, and developing predictive models. Responsibilities include managing the lifecycle of data science projects, collaborating with engineers for deployment, and turning insights into automated services.

As a Data Scientist at StackAdapt, you will innovate and develop ML algorithms to optimize advertising performance. You'll also collaborate with Data Engineers, prototype algorithms, and analyze historical data for insights.

The Data Scientist II role involves analyzing large healthcare datasets to uncover trends, developing machine learning models, and optimizing workflows. The position focuses on collaboration with various teams to integrate data science solutions and enhance revenue cycle management efficiency through actionable insights and visual communication of findings.

The Applied Scientist will apply advancements in AI technologies such as LLMs, CV, and NLP within the estate planning sector. Responsibilities include fine-tuning and integrating AI models, building Q&A frameworks, and collaborating with engineers to enhance AI quality in production systems.

The Vice President of Data Science Research leads the research organization in developing innovative methods for cancer screening, manages resources and staff, fosters collaboration, and aligns team objectives with company goals, leveraging extensive experience in data science and machine learning.

The Senior Revenue Operations Analyst drives revenue growth and operational efficiency by developing strategic plans, optimizing customer success processes, forecasting, analyzing data, and collaborating closely with leadership. This role includes generating insights from data, managing reporting processes, and implementing best practices to enhance customer satisfaction and achieve business goals.

The Senior Data Scientist will leverage LLMs to develop Generative AI applications, using machine learning and advanced analytical techniques to analyze complex data sets. Responsibilities include creating reports and models, influencing strategy, and making independent decisions on complex issues.