Data Scientist

Explainable Artificial Intelligence is an approach to building AI systems that can provide clear explanations for their decisions and actions. It aims to increase transparency and trust in AI by enabling humans to understand how AI algorithms arrive at their choices. This is especially important in healthcare, where AI systems are increasingly used to support business decisions.

We are Health

WorksAI™ ; our mission is to develop and implement cutting-edge XAI solutions for designing health insurance products, specifically for Medicare Advantage. We aim to create cost-effective healthcare plans tailored to individual needs, ensuring optimal patient care at affordable prices. By identifying and mitigating bias in plan design, we are committed to promoting fairness and inclusivity, ultimately empowering insurers to make informed decisions that elevate the quality of care and benefit all stakeholders.

As a Data Scientist at Health

WorksAI, you will play a pivotal role in integrating diverse modelling techniques, enhancing model interpretability, and collaborating on the development of innovative data-driven solutions for Medicare Advantage payers. With a focus on continuous learning and industry exposure, you’ll contribute to a culture of analytics empowerment while showcasing your proficiency in machine learning tools and problem-solving. This Data Scientist role sits at the intersection of healthcare analytics and explainable AI — where your models directly influence multi-million dollar benefit design and network strategy decisions for health plan leaders across the US.

• Model integration:Blend traditional statistical and modern AI/ML techniques to address complex healthcare business challenges across benefit design, network adequacy, and market intelligence.
• Interpretability focus:Enhance model interpretability using xAI methodologies — ensuring every model output is transparent, auditable, and actionable for non-technical health plan stakeholders.
• Analytical proficiency:Showcase proficiency in regression, boosting/bagging, segmentation, forecasting, and Deep Learning/Neural Network techniques applied to real-world Medicare Advantage datasets.
• Solid data foundation:Build a strong foundation in data engineering, modelling algorithms, and general data science principles that power our healthcare analytics platform.
• Collaborative delivery:Work across product, engineering, and customer success teams to ensure data science outputs translate into tangible, measurable client value.
• Continuous learning:Engage in ongoing learning for personal and team growth — staying current on emerging AI/ML tools, techniques, and healthcare industry trends.

• 2+ years of hands-on experience developing and deploying data-driven solutions in a professional or consulting environment.
• Bachelor’s degree in Engineering ideally in Computer Science, Statistics, Economics, or a related quantitative field.
• Proficiency in Python and familiarity with basic Big Data technologies.
• Familiarity with the US Healthcare Insurance domain;
  Medicare Advantage knowledge is a strong plus.
• Experience applying machine learning techniques including regression, boosting/bagging, segmentation, forecasting, and deep learning.
• Strong problem-solving mindset with the ability to structure analytical approaches and communicate findings clearly to non-technical stakeholders.

• 2+ years of hands-on experience developing and deploying data-driven solutions in a professional or consulting environment.
• Bachelor’s degree in Engineering — ideally in Computer Science, Statistics, Economics, or a related quantitative field.
• Proficiency in Python and familiarity with basic Big Data…