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Principal Data Scientist

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Curative AI
Full Time position
Listed on 2025-12-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

About Curative AI, Inc.

Curative AI, Inc. is an ambitious innovative early-stage startup revolutionizing the healthcare industry through cutting‑edge AI‑powered SaaS solutions. We are currently delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry‑transforming AI technology, intelligent automation, and deep data insights. Unlike most tech startups, we have achieved financial break‑even within our first year, with signed customer contracts for $30+M in 2025 projected revenues through our AI healthcare solutions deliveries.

Headquartered in Bellevue/Seattle, we have built a sizable top‑notch tech team in the US, and a large talented offshore team. We now enter a rapid growth phase, hiring aggressively to scale the US‑based team to 100+ employees in 2025. Our vision is bold: to achieve a valuation of over $1 billion within the next 18 months by continuing to deliver exceptional solutions and expanding our market presence.

This is an exceptional opportunity to join an early‑stage AI Healthcare tech company with a proven product, established customer base, solid revenue streams, and explosive growth potential.

The Opportunity

Curative AI, Inc. is seeking a highly skilled and experienced Principal Data Scientist for our rapidly growing company. Our cutting‑edge AI platform and tools will transform healthcare management, leading with RCM solutions for streamlined documentation, faster claims processing, enhanced clinical decision support, and much more. As a Senior Data Scientist, you’ll play a crucial role in developing and implementing innovative AI solutions that address critical challenges in healthcare.

You’ll work closely with other data scientists, AI engineers, software engineers, and domain experts to design, build, and deploy machine learning models that improve patient outcomes, streamline healthcare processes, and ultimately, transform the way healthcare is delivered. You are humble, a dedicated team player, and excited for the road ahead. Come work with a CEO renowned in the AI field with a proven record of building high performing teams, fostering career growth, and creating a positive work culture.

Let’s make healthcare smarter together.

Responsibilities
  • Lead a team of data scientists and analysts
  • Define and execute data science and AI strategies aligned with business objectives
  • Design, develop, and implement AI and machine learning models using statistical analysis and deep learning algorithms
  • Collect, clean, pre‑process, and analyze large and complex datasets from various sources
  • Design and conduct experiments to validate and improve data‑driven solutions
  • Deploy and maintain AI models in production environments, ensuring scalability and reliability
  • Integrate AI solutions with existing systems and applications
  • Monitor model performance metrics and implement improvements as needed
  • Collaborate with cross‑functional teams to translate business needs into actionable insights
  • Communicate insights and recommendations to stakeholders in a clear and concise manner
  • Stay current with the latest advancements in AI and data science research and best practices
  • Mentor and guide junior data scientists, AI engineers, and analysts
  • Identify and evangelize new AI and data science opportunities within the organization
Qualifications
  • Currently located in the Seattle Metro Region and able to work hybrid on‑site a minimum of three days at our Bellevue location
  • PhD or Master’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related field
  • 7+ years of experience in designing, developing, and deploying machine learning models and data science solutions
  • Deep expertise in artificial intelligence (AI) technologies and applications; natural language processing (NLP) and/or large language models (LLM) highly desired
  • Excellent understanding of statistical methods, machine learning algorithms, and AI principles (e.g., supervised learning, unsupervised learning, reinforcement learning)
  • Strong programming skills in Python or other relevant programming languages
  • Experience with machine learning libraries and…
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