Senior Data Scientist

At Zotec Partners, our People make it happen.

Transforming the healthcare industry isn’t easy. But when you build a team like the one we have, that goal can become a reality. Our accomplishments can’t happen without our extraordinary people – the men and women across the country who make up our diverse Zotec family and help make this company a best place to work.

Over 25 years ago, we started Zotec with a clear vision, to partner with physicians to simplify the business of healthcare. Today we are more than 900 employees strong and we continue to use our incredible talent and energy to bring that vision to life.  We are a team of Innovators, Collaborators and Doers.

We're seeking a Senior Data Scientist to join us. 

As a Senior Data Scientist, you will evaluate data, create machine learning algorithms, and integrate those algorithms into Zotec’s proprietary technology products that result in the organization making data driven decisions.

What you’ll do:

• Collaborate with product owners and senior engineers to identify opportunities for leveraging data to drive business solutions
• Contribute to design of analytics, including data sampling, data mining, data quality, and data visualization solutions
• Develop custom predictive models to increase client satisfaction and optimize reimbursement
• Provide technical leadership to the vision, design, and oversight of complex hardware and software solutions that apply machine learning and artificial intelligence to real word data
• Use analytical abilities and creativity in anticipating trends
• Evolve current data strategies, bringing fresh ideas to the table to continuously improve our direction and results
• Provide accurate information regarding time estimates and project status
• Participate in daily scrums and technical reviews
• Complete other duties as assigned
  

What will you bring to Zotec:

• 3 years working in the field of Data Science or a similar engineering function
• Bachelor’s degree in computer or statistical field; Master’s degree also beneficial
• Intermediate level Python programming
• Experience with AWS Bedrock, LLMs, and/or building chat and response bots is a plus
• Machine Learning experience, including supervised machine learning (both classification and regression), unsupervised learning, deep learning, etc
• Experience with feature selection, feature engineering, dimensionality reduction, and cross-validation
• Ability to apply knowledge of data science and machine learning to implement and run machine learning workloads in cloud-based technology stacks, AWS preferred
• Ability to write and review complex queries in SQL
• Experience with wrangling and preparing large data sets
• Experience communicating data insights with non-technical stakeholders
• Intellectual curiosity and self-motivation are required
• Revenue Cycle, Healthcare, and/or Health Insurance industry experience is beneficial