Senior Applied Scientist

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Magnify is a Madrona-backed startup developing a next-generation orchestration platform for the post-sales industry. Over 90% of revenue for most companies comes after the initial sale, but the customer experience is fragmented and siloed across multiple technology platforms and teams. Magnify uses AI/ML along with a modern microservices architecture to transform that experience to drive adoption, retention, and expansion for our customers. The opportunity is a massive and untapped market by the current products and systems.

Magnify's initial customers are enterprise Chief Customer Officers and VP’s of Customer Success. These executives are challenged to scale the teams and drive performance across increasing numbers of customers and end-users, but struggle with fragmented technologies and manual processes. Magnify meets them at their point of need and solves their critical challenges in this large and growing market of over 4 million CS professionals.

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

The role

We are hiring for a Senior Applied Scientist to join us as we transform the customer experience in software. Here at Magnify we build services that sit at the intersection of data architectures and ML to solve a broad spectrum of problems from automation to orchestration, to experimentation, to scaling of tech and applied science models across a variety of enterprise domains.  

Our Senior Applied Scientists are pragmatic leaders who can translate business needs into workable science solutions. We are looking for a senior scientist like dealing with ambiguity, solving hard, large scale problems, and working in a startup environment.

Our Applied Scientists are expected to take ownership, dive deep and drive science solutions from developing prototypes, design to coding, testing and deployment. The role requires innovation and pushing boundaries to help our customers successfully deliver their products.

As one of the first hires at a venture-track company, this role provides an opportunity to grow with the company and to have real impact with enormous upside.

Qualifications

  • Communication:  Brings a proven ability to communicate with team members and to engage in  creative, thoughtful and energetic discussions with others. Able to provide project progress and results both orally and in writing.
  • Functional skills:  Work with product managers to understand business goals, requirements and use cases. Able to map abstract business goals and requirements to well-defined science projects with executable plans and milestones. Able to use existing tools or write code to perform statistical data analysis. Create machine learning prototypes to evaluate feasibilities of approaches, gain insight and drive creation of production ready models. Design and apply machine learning models (supervised, unsupervised, reinforcement learning, casual inference, and uplift, etc.) to solve business problems. Mathematical formulation and coding required. Work with software developers to collect data in different formats from various sources and deploy, scale science models in production. Evaluate, analyze and interpret model results, and further improve model performance. Share findings and learnings with teams and mentor junior scientists to help them grow.
  • Curiosity:  Self-starting ability to dive into use cases and is curious to learn new approaches and methodologies to deliver results.
  • Culture:  Strong team player, true character, always learning, curious, good judgement, scrappy, smart, good humored and a tolerance for ambiguity.

Experience

  • Experience building machine learning models or developing algorithms for business application
  • 1+ years of experience programming in Java, C++, Python or related language
  • PhD OR Master's Degree plus 10+ years of industry or academic research experience in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics or a related quantitative field
  • 3+ years of hands-on experience in predictive modeling with large data analysis, SAS/R/Matlab and/or SQL/Hive/Pig experience

Magnify values inclusion and diversity and aspires to be among the tech industry’s most inclusive work environments. We are committed to diversity in our workforce and are a proud equal opportunity employer. We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, sex, gender expression or identity, sexual orientation, or disability status, marital status, or veteran status.

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Interested applicants should include a resume and cover letter.