Job description

Who We Are

At Sully.ai, we're not just building AI – we're redefining the future of how healthcare is delivered. Our end to end solutions empower healthcare providers by automating doctors’ administrative tasks, reducing misdiagnosis, and enhancing efficiency.

What You'll Do

As our first data scientist you'll help our customers integrate and develop advanced recommendation and predictive models using our platform. You'll connect diverse data sources, experiment with cutting-edge machine learning methods, and ensure our customers successfully leverage data science to meet their business goals. You'll work closely with a wide range of stakeholders (internal and external) to tackle ranking and personalization challenges and play a pivotal role in guiding our product direction while fostering an innovative, inclusive engineering culture.

Master our platform’s features and capabilities to become a subject matter expert.
Design and iterate on recommendation and discovery models for our customers’ use cases.
Rapidly analyze data and identify performance optimization opportunities.
Experiment with state-of-the-art pretrained models (image, language, audio, video) to enhance discovery and personalization.
Build strong, collaborative relationships with customers’ technical teams and leadership to ensure successful, long-term partnerships.
Deliver technical demos to highlight our platform’s capabilities.
Proactively communicate project timelines, updates, and next steps to internal teams and customers.

What You'll Bring

Previous experience in designing, deploying, and managing recommendation or predictive models in production
3+ years of industry experience in software engineering, data science, or solutions architecture roles
Strong proficiency in Python and SQL
Enthusiasm for solving complex problems, unblocking issues for customers, and embracing a “wear many hats” in a fast paced startup environment
Solid understanding of mathematics, statistics, and algorithms
Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field (Master’s or PhD a plus)

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