Data Scientist - Remote

The Data Scientist will work with cutting edge cloud-based services and machine learning
algorithms to modernize the way artificial intelligence (AI) is deployed in healthcare. In partnership
with clinicians, cloud partners, and business owners the DS will work backwards from business objectives
to drive scalable machine learning solutions and pull through the appropriate technology as needed. The
incumbent will be a technical leader influencing the analyses and promoting best practices within the team.
Responsibilities
THE DETAILS

Identify the data-analytics problems that offer the greatest opportunities to the organization
Determine the correct data sets and variables
Collect large sets of structured and unstructured data from disparate sources
Clean and validate the data to ensure accuracy, completeness, and uniformity
Devise and apply models and algorithms to mine the stores of big data
Analyze data to identify patterns and trends
Interpret data to discover solutions and opportunities
Perform statistical analytical techniques ranging from basic descriptive techniques to advanced
regression and multi-variable techniques, using various statistical software programs
Communicate findings to stakeholders using visualization and other means
Make recommendations for new metrics, apply analytical techniques, and build ML models to
improve insights for clinical analytics

Maintain an understanding of the latest trends in data science and machine learning
Lead development, execution, and validation of highly complex algorithms and predictive models
from large sets of data
Partner with business subject matter experts to select relevant sources of information and collect
necessary data
Communicate new knowledge and insights gained from mining and analyzing large data sets
Transfer knowledge and concepts to IS and business teams that are implementing the actual system

Mentor and work collaboratively with other data scientists on specific projects, improving team
infrastructure and participate in methodology and code reviews
Research and implement novel ML approaches to accelerate interoperability, knowledge
extraction, enterprise search, real-time workflow orchestration, and more

This job description is not designed to cover or contain a comprehensive listing of activities, duties
or responsibilities that are required of the employee for this job. Duties, responsibilities, and
activities may change at any time with or without notice.
Qualifications

SCOPE MEASURES
Direct reports: No

Indirect reports: No
Budget responsibility: No
EDUCATION/CREDENTIALS

Master's degree in health science-related discipline, public health, statistics, economics,
mathematics, healthcare, or related quantitative field from an accredited college or university or
equivalent education and experience

In lieu of undergraduate degree, the ratio is 1:1 meaning one year of college equals one year of
work experience and vice versa
JOB-RELATED EXPERIENCE

Customarily has at least five years of experience in data mining and statistical analysis
Customarily has at least five years of experience with SQL and statistical software packages
(Python, R, SAS/SPSS)

Technical experience and data management skills including data extraction, transformation,
metadata capabilities
Advanced proficiency with MS Excel and PowerPoint
Experience using business intelligence tools (Tableau/MicroStrategy/Power BI) and data
frameworks
Track record of publications
JOB-RELATED SKILLS/COMPETENCIES

Concentra Core Competencies of Service Mentality, Attention to Detail, Sense of Urgency,
Initiative and Flexibility

Ability to make decisions or solve problems by using logic to identify key facts, explore
alternatives, and propose quality solutions
Outstanding customer service skills as well as the ability to deal with people in a manner which
shows tact and professionalism
The ability to properly handle sensitive and confidential information (including HIPAA and PHI)
in accordance with federal and state laws and company policies
Have a keen ability to analyze, extract, normalize, understand, and label relevant healthcare data
Ability to document technical requirements, code comments, and compile white papers to relay
technical methodology and key findings
Ability to work in a highly collaborative environment with peers that have a range of technical
aptitudes to understand business requirements and build analytical solutions to achieve key
business goals
Passionate about working with data, relentless in focus on quality, have a solution mindset, and
focused to answer key healthcare challenges. Excellent verbal and written communication skills

Excellent organizational skills and attention to detail
Able to multitask, prioritize, and manage time effectively
Strong math skills
Problem-solving aptitude

Intellectual curiosity and inquisitiveness are highly desirable qualities

Originally posted on Himalayas