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Magnify is the next-generation automation platform for the post-sales experience-- we grow revenue and reduce churn for software companies without adding headcount. Magnify identifies and orchestrates the next-best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale. Ā  Magnify uses machine learning along with a sophisticated orchestration engine to transform that experience to drive adoption, retention, and expansion for our customers. The opportunity is massive and untapped by current solutions.ā€

Magnify's customers are enterprise software companies, usually used by the Chief Customer Officers and their organizations and/or the Growth Marketing teams.

Magnify is a fast-moving startup backed by top-tier investors including Madrona and Decibel, with a veteran leadership team.

The role In this role, you will be responsible for:

• Working with a variety of data sources provided by Magnify's customers and leveraging these 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.

Qualifications and Experience Successful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you donā€™t meet all of the items below.

• 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.

Seattle-area preferred; This role is remote eligible within the United States. No third parties / recruiters please.