Top Data Science Jobs

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.

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.

The Senior Data Scientist will provide expertise in machine learning and data science, work on projects including NSF protocols, and support research while acting as the primary liaison for the technical team.

As a Data Scientist II at Putnam, you will lead a team to solve analytical problems for clients in the pharmaceutical and biotechnology sectors. Responsibilities include managing analytical workstreams, coaching junior team members, and synthesizing analyses into actionable recommendations. You will work extensively with big data, statistical testing, machine learning, and data visualization tools.