Principal Applied Scientist
Seattle, WA /
Engineering – Applied Science /
Magnify is 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 disconnected 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 current solutions.
Magnify's initial customers are enterprise Chief Customer Officers and their organizations. These executives are challenged to scale the teams and drive performance across increasing numbers of customer touch points, 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 like Madrona and Decibel, with a veteran and successful leadership team.
We are hiring for a Principal 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 Principal Applied Scientists are pragmatic leaders who can translate business needs into workable science solutions. We are looking for a Principal Applied Scientist who enjoys dealing with ambiguity, solving hard, large scale problems, and working in a startup environment.
At Magnify, 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.
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 building machine learning models or developing algorithms for business application.
7+ years of experience in applied science and software development at large scale
PhD OR Master's Degree plus industry or academic research experience in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics or a related quantitative field
Proficiency in, at least, one modern programming language such as C, C++, Java, or Python
Hands-on experience in predictive and optimization models with large data analysis
Proven track record of leading and mentoring applied scientists
Magnify is a values driven culture, we aspire 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.