Data Scientist Senior

Cone Health
Greensboro, NC, United States
about 1 month ago
Apply on diversityjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Data Mining Deep Learning Modeling and Simulation

Job description

  • Applies advanced machine learning-based data mining methods to discover new patterns in claims and care delivery data for the purpose of understanding performance of the organization and the populations that it serves.
  • Creates and oversees predictive models for clinical and financial outcomes and population behaviors.
  • Builds simulation models to assess the range of possible outcomes for strategic and tactical proposals, and to gain an understanding of the sensitivity to associated business levers, prior to implementation.
  • Produces and oversees production of a combination of data mining, predictive modeling, simulation modeling or other quantitative analyses to provide new insights into drivers of clinical risk and financial performance.
  • Produces and oversees production of publication-ready, customer-oriented reports that provide business context for data science-based analysis and recommendations.
  • Represents Enterprise Analytics leadership as a data science expert in business engagements with mid- and senior-level leadership when called upon to do so.
  • Serves as department-wide consultant regarding advanced data mining and predictive modeling methods, as well as application of scientific research principles to knowledge discovery.
  • Provides data science tools and methods mentorship and project leadership to staff at the Data Scientist and Data Scientist - Intermediate levels.
  • Performs other duties as assigned.

Requirements

  • Required: Bachelor’s Degree

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on diversityjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

2:20 min

Investigating board state comprehension through language model chess simulations

Jonas Andrulis Jonas Andrulis · World Congress 2024

8:51 min

Addressing technical strategies and interdisciplinary computing dynamics

Noah Weber · LIVE

4:25 min

Analyzing web accessibility data at scale

Karl Groves Karl Groves · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all