Top Data Science Jobs

The Senior Data Scientist will develop, design, and maintain AI-based systems, focusing on Natural Language Processing and Machine Learning models. They will participate in code reviews and collaborate with various client delivery teams to enhance user experiences in a GenAI program for the IRS.

This role involves supporting a large GenAI program for the IRS by leveraging generative AI technologies to enhance tax administration. Responsibilities include cleaning and managing large datasets, developing predictive models, collaborating with teams, and creating documentation for data insights.

The Senior Scientist will conduct and manage synthetic organic chemistry experiments, develop methodologies, and lead projects in a multidisciplinary team. Responsibilities include mentoring staff, communicating project updates, ensuring compliance with regulations, and contributing to publications and patents.

The Senior Data Science Engineer will develop data solutions, collaborate with teams, oversee algorithms for data analysis, and support junior engineers. Responsibilities include managing scalable data processing platforms and making informed decisions while contributing to business goals.

The Data Visualization Specialist will engage with teams to design and build accurate data visualizations from various data sources, aiding decision-making for stakeholders and development teams. Responsibilities include creating new visualizations, fixing data issues, and participating in planning meetings, all while fostering collaboration in a diverse and distributed team.

The Data Science Manager will lead a team of data scientists to provide insights that drive growth and enhance the user experience. Responsibilities include managing team performance, developing actionable plans from business challenges, and communicating analytical findings to stakeholders. Emphasis on collaboration and innovation is key.

As a Sr. Data Scientist, Monetization at Pinterest, you will own data product development, conduct strategic analysis, model segmentation for pricing, and mentor team members. Your role involves improving decision-making processes by utilizing experimentation and causal inference techniques while defining success metrics for engineering teams.

The Bioinformatic Data Scientist will develop and optimize computational pipelines for drug development, manage data visualization tools, and integrate data using MongoDB. The role involves collaboration with teams to implement bioinformatics solutions, optimize workflows, and contribute to therapeutic discoveries.

The Staff Research Scientist will leverage expertise in NLP to design and implement neural net architectures and optimize training pipelines. Responsibilities include owning product quality related to summarization features, exploring new capabilities using real-world conversational data, and collaborating with engineers to evaluate model performance. 10+ years of experience in data processing and model training is required, along with a Master's or Ph.D. in a related field.