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An exciting opportunity awaits at a thriving B2B SaaS company, where you will play a pivotal role in developing innovative AI products that drive significant revenue growth. As a Principal ML Engineer/Data Scientist, you'll leverage a unique dataset to create predictive tools that enhance the platform's capabilities. Collaborating closely with C-suite executives and managing specialized resources, your contributions will directly influence the company's success. Join a talented tech team and be part of a forward-thinking organization that values your expertise in machine learning and data science.
Job Description
This role will lead the build of real-world AI products for a very successful B2B SaaS firm, already generating approximately $100 million ARR. The products you develop will significantly impact the company's bottom line.
The company possesses a large proprietary dataset, unrivaled in their marketplace.
About the Company - PE-backed, approximately $100 million ARR B2B SaaS firm, seeking to hire a Principal ML Engineer / Data Scientist. The role involves building data science and AI products to integrate into their platform. The company has around 200 employees, a talented tech team, a modern tech stack, and an unrivaled dataset created by merging several key companies within the sector.
About the Role - The position is primarily a senior individual contributor role, with significant interaction with the C-suite and private equity backers. You will lead teams on a squad basis and manage third-party resources from a specialist consultancy.
You will be responsible for designing and building AI tools for a B2B sales platform. These products aim to enhance the platform's capabilities, offering strategic recommendations and insights to users.
It is essential that you demonstrate experience in building data and AI tools that have created commercial value for organizations and/or their clients.
Specifically, we are looking for experience in building AI-enabled prediction and forecasting products.
We expect technical expertise in some of the following areas:
This is an opportunity to develop real-world AI tools that will be used by B2B end users and generate significant additional revenue for the rapidly growing B2B SaaS company.