Magnify is hiring a
Principal Data Scientist

Summary

The job is for a Data Scientist at Magnify, a fast-moving startup backed by top-tier investors. The role involves working with data sources to build models, understanding customer needs, innovating, and partnering with the engineering team. The position is remote eligible within the United States.

Requirements

• Masters in Computer Science or related field; PhD preferred
• 7+ years of experience working as a data scientist in a high growth, startup environment
• Strong knowledge and hands-on experience across machine learning, causal inference, experimentation, product analytics, revenue analysis, statistics, and/or optimization
• Ability and comfort operating with ambiguity in an early stage startup environment in which you may need to 'bootstrap' data science infrastructure to complete projects
• Strong communication skills, both written and verbal, and the ability to successfully engage across audiences of varying backgrounds and technical proficiencies
• Passionate about delivering for users and collaborating with teammates
• Have a strong bias for action, a track record of moving quickly, and the ability to identify where and when scrappiness is the right approach versus those places where deeper rigor is required

Responsibilities

• Working with a variety of data sources provided by Magnify's customers to build models that predict future revenue expansion and churn; identify drivers for key events in the customer lifecycle (renewal, expansion, cancellation, etc.); and enable accelerating product adoption and usage
• Collecting and understanding customer needs, Magnify's vision, and stakeholder input to improve model accuracy and relevancy, and to develop new models and functionality to expand Magnify's products
• Innovating and providing thought-leadership to the Magnify team around future data science and machine learning opportunities, including expanded use of generative AI
• Partnering with the engineering team to build infrastructure that provides reliability, observability, and scalability to data science pipelines and model/product integrations

Preferred Qualifications

Seattle-area preferred; This role is remote eligible within the United States