Sift Healthcare

👥 11-50💰 $20,000,000 Series B 8 months agoArtificial Intelligence (AI)Information ServicesPredictive AnalyticsInsurTechHealth CareFinTechSoftware💼 Private Company
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Sift Healthcare is a data science company revolutionizing healthcare payments. We build and deploy a Payments Intelligence Platform that uses machine learning and predictive analytics to reduce insurance denials, maximize patient payments, and optimize revenue cycle operations for healthcare organizations. Our platform provides actionable insights, accelerating insurance payments, minimizing denials, and improving patient collections. We're making a significant impact by enabling data-driven decision-making in a traditionally complex and inefficient sector. Our engineering team leverages a robust tech stack including Ruby on Rails, Python, SQL, and cloud technologies such as AWS and Snowflake. We prioritize building scalable and maintainable solutions, fostering a collaborative and innovative environment. We encourage our data scientists to explore and implement cutting-edge machine learning techniques, contributing directly to product development and client success. We value creativity, teamwork, and a commitment to excellence in everything we do. Located in Milwaukee, Wisconsin, Sift Healthcare is a rapidly growing company with a strong track record of success. We've secured over $36 million in funding and serve a diverse range of clients, including large health systems, leading HCIT vendors, payers, and revenue management agencies. We offer competitive salaries and benefits, and while we are based in Milwaukee, we also consider remote candidates for suitable roles. We are passionate about improving healthcare payments and empowering healthcare organizations with the data-driven insights they need to thrive. Join our team and help us build the future of healthcare payments!

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🔥 Data Scientist III
Posted 3 months ago

📍 United States

🔍 Healthcare

  • 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.

  • 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.

PythonSQLMachine LearningData scienceCommunication Skills

Posted 3 months ago
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