Job Overview
Join our dynamic team as a Data Scientist II, where you will play a pivotal role in transforming the healthcare sector through innovative data-driven solutions. This remote position offers the flexibility to work from anywhere while contributing to meaningful projects that impact the lives of healthcare professionals and patients alike.
Key Responsibilities
- Leverage advanced data science techniques to analyze extensive datasets related to healthcare revenue cycle processes, identifying critical trends and insights.
- Design, develop, and enhance machine learning models for process mining, workflow optimization, and actionable recommendations.
- Collaborate with software engineers, product managers, and domain experts to embed data science solutions within our products.
- Validate and refine models to ensure they provide accurate and actionable insights, including conducting A/B testing and performance evaluations.
- Create visualizations, dashboards, and comprehensive reports to effectively communicate findings to both technical and non-technical audiences.
- Stay abreast of the latest advancements in machine learning, AI, and healthcare technology, fostering a culture of innovation within the team.
Required Skills
- Strong programming proficiency in Python, with experience in data science libraries such as scikit-learn, TensorFlow, or PyTorch.
- Expertise in SQL for efficient data manipulation and query optimization.
- Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib for presenting data insights.
- Experience with process mining techniques is a valuable asset.
- Understanding of healthcare revenue cycle management is preferred, though not mandatory.
- Excellent analytical and problem-solving skills, with the ability to communicate complex concepts effectively.
Qualifications
- Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline. A PhD is a plus.
- A minimum of 3 years of relevant experience in data science, ideally within the healthcare sector.
- Proven track record in developing machine learning models focused on process mining or anomaly detection.
Career Growth Opportunities
We prioritize your professional development by encouraging continuous training, advanced certifications, and opportunities for personal enrichment, supported by financial assistance.
Company Culture And Values
We pride ourselves on maintaining a collaborative and inclusive environment where innovation is celebrated. Our commitment to work-life balance fosters both personal and professional growth, ensuring a welcoming workplace for all.
Networking And Professional Opportunities
As part of our team, you’ll have access to a vast professional network and opportunities for collaboration and skill development within the healthcare technology sector.
Compensation And Benefits
We offer a competitive salary, along with a comprehensive benefits package that prioritizes employees’ health and well-being, including unlimited PTO, a 401k plan, and support for remote work-related expenses.
Employment Type: Full-Time