Data Scientist III

Remote

Sift Healthcare is seeking a Data Scientist III to join our growing data science team. This hire will work with our data science team leaders and internal technology teams to support and enhance Sift’s current machine learning and advanced analytics, specifically focusing on the healthcare revenue cycle.

Sift is transforming healthcare payments by equipping healthcare organizations to fully leverage their payments data to work smarter, protect their margins and accelerate cash. Large health systems, leading HCIT vendors, payers and outsourced revenue management agencies use Sift's Payments Intelligence Platform, ML integrations, advanced analytics and reporting to optimize payment outcomes and enable data-driven decision-making within the revenue cycle.The Data Scientist III is a key member of the Data Science team and is responsible for supporting, monitoring, and enhancing machine learning models to solve complex problems in the healthcare industry. We are seeking a candidate with 4+ years of experience in a data science or quantitative role, with an advanced degree (MS or higher) in a related field. The ideal candidate will have a background in data science and statistics and general analytics and data visualization experience.

A key attribute of the employee will be their ability to test hypotheses and present findings in a clear and structured manner to internal team leads. As a team member, the employee is required to develop a deep understanding of the data, provide advanced analysis, and suggest how Sift Healthcare can improve current data science techniques and models. The employee is expected to remain up-to-date with the most current data science methods.

Healthcare experience is required, and experience working with EMR or claim and remittance data is strongly preferred. A Wisconsin resident is preferred for this role, but remote candidates will be considered.

 

RESPONSIBILITIES

  • Act as a key contributor to the development of Sift’s current RevCollect Denials Prioritization ML products and pipelines
  • Operationalize ML for client launches
  • Develop ML pipelines for new product features
  • Enhance ML through attribute ideation and creation
  • Investigate and manipulate large datasets to uncover and resolve issues
  • Contribute to Sift’s ML Ops initiatives
  • Work and communicate effectively across teams

 

QUALIFICATIONS

  • Four (4) plus years of experience working with large disparate data sets, using quantitative and qualitative analysis to derive business insights and leverage ML
  • Healthcare data experience is required. EMR (Epic, Cerner) or EDI (claim and remittance) is strongly preferred
  • Python and SQL experience required. R experience is a plus
  • Experience with feature engineering and creation is required
  • Experience with supervised ML is required, including tree-based ML (Random Forest, GBM, XGBoost, etc.)
  • Experience with unsupervised ML and encoding is strongly preferred (clustering, Transformers, LSTM, etc.)
  • Strong communication skills, both oral and written
  • Must be a team player and willing to collaborate and assist members of the team
  • An advanced degree (MS or higher) in applied data science, statistics, economics, computer science, or a related field is preferred
  • AWS Cloud experience is a plus
  • Snowflake experience is a plus 

 

COMPENSATION

Compensation will be based on skills, experience, and performance.

 

ABOUT SIFT HEALTHCARE

Sift is a data science company working to improve payments operations and outcomes in the healthcare industry. We are a growing and dynamic team that is serious about technology. Based in Milwaukee, Wisconsin, Sift is thriving and looking for motivated team members who will help shape our culture. Sift offers competitive salaries and benefits. Learn more about Sift at www.sifthealthcare.com.

 

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