Boston Tech Jobs and Startup Jobs

6

Data Scientist

Quick Base
Cambridge
4 days ago
+37
Accessing and synthesizing data using appropriate tools and technology while leveraging knowledge of data sources, data quality and business context. Applying advanced analytical/statistical methods to provide stakeholders with analysis, insight and direction that informs strategic corporate decisions. Translating analytical findings and insights into the language of business stakeholders and confidently presenting them to all levels of the organization, including C-Level leadership. Ensuring that data findings are appropriately visualized in a way that will resonate with stakeholders and clearly highlight implications. Collaborating with C-Level leadership to create analytic models and developing Key Performance Indicators dashboards/reports. Developing reusable code and algorithms to wrangle and classify existing data. Evangelizing data stewardship, pursuing data quality and driving data issues to resolution.

GTM Compensation Analyst

Senior Engineer: Platform as a Service (PaaS)

DigitalOcean
Cambridge
1 week ago
+48
We are looking for an experienced engineer to work on a small team and capable of contributing across the whole stack. This role reports to the Engineering Manager of the Managed Storage Products team within the Platform-as-a-Service (PaaS) organization. As a member of this team, you will have the opportunity to work remotely with Canada and the United States or from our offices in NYC, Cambridge, MA and Palo Alto, CA.

Head of Audio Research

iZotope
Cambridge
1 week ago
+29
We are seeking a forward-looking and creative Head of Audio Research to lead iZotope’s applied research team in the discovery and evaluation of emerging audio technologies and their application to our future products. Qualified applications should have demonstrable experience managing and supporting a team of research and development engineers; expert knowledge in the design and development of signal analysis and processing algorithms; a passion for music and audio technology; and proven expertise in and extensive practical experience with technological advances in machine learning and/or digital signal processing. The ideal candidate would have prior experience developing music and audio production technology and be familiar with trends in audio software.

Machine Learning Scientist

PathAI
Cambridge
2 weeks ago
+21
Understand PathAI’s products and services and introduce technology innovations with respect to functionality, performance, reliability, and scalability. Design, develop and maintain the machine learning infrastructure that powers PathAI. Research and development of novel machine learning algorithms for the product platform. Research and development of machine learning algorithms to expand product capabilities. Participate in building new experiences, improve existing products, ensure quality assurance test designs and contribute to test systems architecture discussions.

Software Developer - Data Platforms

InterSystems
Cambridge
2 months ago
+31
InterSystems is seeking an experienced full stack developer. This versatile individual will be a part of our Data Toolset development team that works on our IRIS Data Platform. InterSystems IRIS is the fastest way to build and deploy the most demanding applications – it also provides for rapid integration, high performance simultaneous analytical and transaction processing, and open support for AI and machine learning tools.

Technology Architect - Data Platforms

InterSystems
Cambridge
4 months ago
+31
Technology Architects define deployment configurations so that InterSystems’ products will meet the needs of very large (often regional, national, and international) enterprises. They define the technical architectures that will meet scalability, high availability, disaster recovery and security requirements for mission critical applications. Technology Architects also define procedures and practices for application deployment and system management. They conduct and support benchmarking and other testing to ensure our products meet scalability and high availability goals, and work with development to identify and resolve product issues.  They ensure that we learn from customer deployments to continuously improve future configuration designs.

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