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Data Scientist - Remote

Posted Yesterday
Data Analysis
Full Time
NJ, USA
Machine Learning
Predictive Modeling
Statistical Analysis
Mathematical Optimization
Algorithm Development
Artificial Intelligence
Python
R
SQL
BIG Data
NLP

Overview

The Data Scientist will support Accuity's healthcare clients by utilizing modern data science methods to drive business growth and improve financial outcomes through advanced analytics.

In Short

  • Develop predictive and prescriptive analytic models.
  • Deploy solutions for actionable insights.
  • Design and implement AI/ML and data models.
  • Ensure AI/ML deliverables are production-ready.
  • Support analytic efforts aligned with strategic priorities.
  • Document and extend analytics portfolio.
  • Stay updated on operations research and statistical modeling literature.
  • Communicate project plans and updates to leadership.
  • Collaborate with business, IT, and clinical leaders.
  • Assist in scaling successful projects.

Requirements

  • Master’s degree in a related field required.
  • 3+ years of experience in Machine Learning/Predictive Analytics.
  • Proficient in Python and R.
  • Experience with SQL and Big Data technologies.
  • Knowledge of text mining and NLP is desirable.

Benefits

  • Opportunity to work in a dynamic healthcare environment.
  • Engage with advanced data science technologies.
  • Collaborate with a skilled team of professionals.
  • Contribute to impactful healthcare solutions.
Accuity logo

Accuity

Accuity is a technology-driven company focused on developing scalable APIs and web applications. With a commitment to innovation, Accuity leverages modern programming languages such as Go, Python, and JavaScript to create mission-critical systems. The company emphasizes the importance of secure software development practices and aims to deliver high-quality, well-documented code throughout the deployment cycle. Accuity fosters a dynamic work environment where engineers can take ownership of their projects and contribute to the design and implementation of new features and microservices.

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