Join our Talent Network

Data Scientist Senior

Job ID: 8143
Facility: Cone Health
City: Greensboro

Date Posted: 2019-04-13 06:08:38 UTC
2019-04-13 06:08:38 UTC

Share:

Job Description

LOCATION: Cone Health, SW-Enter Analytics - Consulting Svcs
CITY: Greensboro

JOB DETAILS:
Exempt: Yes | FTE: 1.0 (40 hours/week) | Schedule: M - F, 8am - 5pm | On Call: NO

JOB SUMMARY:

The Data Scientist -Senior is an experienced data science resource on the Insight Discovery & Computational
Modeling team within the Cone Health Enterprise Analyticsdepartment. The Data Scientist - Senior leverages
advanced knowledge of the tools and methods of applied datascience to generate business and clinical value
for Cone Health through discovery of new insights/knowledge. Therole of the Data Scientist - Senior at Cone
Health is to independently:
• Apply machine learning-based data mining methods to discovernew patterns in claims and care delivery
data for the purpose of understanding performance of the ConeHealth enterprise and/or the populations that
it serves,
• Create predictive models for clinical and financial outcomesand/or population behaviors, and/or
• Build simulation models to assess the range of possibleoutcomes for strategic and tactical proposals, and to
gain an understanding of the sensitivity to associated businesslevers, prior to implementation.
• Provide data science tools and methods mentorship and projectleadership to staff at the Data Scientist and
Data Scientist - Intermediate levels.
The result of the data scientist's work is a body of high-impactmodels that can be implemented in a
production setting to improve member health outcomes, toincrease the efficiency of care delivery operations,

and to contain health care costs through health improvement andrisk mitigation.

EDUCATION:

Required: Master's degree in a quantitative, analytical discipline such as data science, mathematics, statistics,
operations research, actuarial science, or the physical sciences.

EXPERIENCE:

Required:
• Minimum offive (5) years of experience applying data science and other advanced analyticsmethods to
very-large scaleinformation sources required. Six years is preferred.
• Demonstratedexpertise in data science and analytical methods, particularly as applied inthe healthcare
domain, mayreduce time-in-position and/or educational requirement.
• Extensiveexperience developing, applying, and interpreting results from successful(i.e., practical and
impactful)analytics projects.
• Advancedknowledge of data science tools and methods, including machine learning andpredictive
modeling orsimulation modeling.
• Demonstratedexpertise with multiple data science tools is required, e.g.: R, Python,RapidMiner,
SAS/EnterpriseMiner, Statistica, AnyLogic, or BayesiaLab. Experience with similar tools willbe considered.
• Extensiveexperience designing and applying multiple advanced data mining, statisticalanalysis, and
predictivemodeling methods independently is required.
• Demonstratedexperience working with large, complex, relational databases is required.
• Demonstratedexperience with data extraction, data manipulation, and reporting is required.
• Demonstratedexpertise applying advanced problem-solving skills in the business environment.
• Experiencepresenting analytically-derived findings to senior leadership is required.

Preferred:
• Analyticsexperience in the healthcare delivery or health insurance industries isstrongly preferred. Relevant
experience inother industries (e.g., retail, social media, financial services) will beconsidered.
• Two-or-moreyears of experience applying advanced analytics tools and methods to healthcaredata is
stronglypreferred.
• Two-or-moreyears of experience in a healthcare operations environment (health system orinsurer) is
stronglypreferred.
• Priorsupervision of individual, or teams of, data scientists is strongly preferred.
• U nderstandingof HIPAA and other applicable statutes or regulations concerning patientprivacy and
appropriate use and sharing of healthcare data is stronglypreferred.

LICENSURE/CERTIFICATION/REGISTRY/LISTING:
Valid Drivers License

Cone Health is an equal opportunity employer. If you require assistance with our online job submission process, please contact our team at 866-266-3767 to request an accommodation.
Share:

Similar Jobs

Chaplain Resident

Greensboro
Cone Health

Data Scientist Senior

Greensboro
Cone Health

Data Scientist

Greensboro
Cone Health

Program Manager, Post Acute Care

Greensboro
CHAPS Building

Corp Senior Accountant

Greensboro
Cone Health

Wellness Coordinator

Greensboro
Northwood Building

Lean Transformation Coach

Greensboro
Cone Health

Patient Access Manager

Greensboro
Moses Cone Hospital

Financial Analyst Sr

Greensboro
CHAPS Building

Materials Supervisor

Greensboro
Moses Cone Hospital

Clinical Social Worker II - Weekend

Greensboro
Moses Cone Hospital

Director of Guest Relations

Greensboro
Moses Cone Hospital

Operations Manager - Revenue Cycle

Greensboro
CHAPS Building

Business Analytics Consultant Senior

Greensboro
Cone Health

Clinic Sr. Business Manager

Greensboro
Cone Health Medical Group HeartCare at Church Street

Career Navigation Consultant

Greensboro
Northwood Building

Executive Director Emergency Services

Greensboro
Wesley Long Hospital

Patient Access Supervisor

Greensboro
Adams Farm - Building 2

Director Communications

Greensboro
Cone Health

Industrial Hygienist

Greensboro
Cone Health