Top Remote Data Science Jobs in Buffalo, NY

The Research Scientist will drive research and development for a News Platform, evaluating document quality and detecting misinformation. Responsibilities include partnering with product managers, conducting independent research, designing experiments, and communicating findings effectively to cross-functional partners.

The Staff Research Scientist will leverage NLP expertise to develop AI technology for enhanced meeting experiences. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and shaping product quality. The role also involves collaborating with engineers to evaluate model performance and explore new capabilities from large-scale data.

Hims & Hers is seeking candidates for future Analytics and Data Science opportunities to drive data-driven decisions and innovations across the company. The roles involve analytics, machine learning engineering, and building data solutions to enhance user experience and support business growth.

The Senior Revenue Data Analyst will collaborate with sales, marketing, and customer success teams to analyze and visualize data from various sources, enabling impactful decision-making. Responsibilities include managing data requests and defining a data model while providing insights into customer acquisition, conversion, and retention through advanced statistical methodologies.

The Senior Data Scientist will lead data science initiatives, create data pipelines, analyze runner behavior data, develop analytical models, and collaborate across teams to inform product development. This role involves translating complex data into insights, managing projects, and ensuring data quality and accessibility for the Run Research team.

As a Research Scientist at Waabi, you will lead and contribute to AI research projects, focusing on developing algorithms for self-driving technology and their implementation in production systems. Your work will encompass problem-solving across various areas, including perception, motion forecasting, and generative modeling, while also ensuring code quality and publishing findings at top conferences.

As a Senior Data Scientist at Prosper, you will develop machine learning models for credit and fraud risk management, collaborate with engineers on model deployment, monitor model performance, and perform data analysis to enhance business metrics. You need to leverage complex data sources and adhere to responsible AI guidelines, supporting a results-driven team.