Data Scientist - Remote

Data Scientist - Remote - Job On Remote Online USA | Career Page

Data Scientist - Remote

Austin, Texas, United States

Apply for Position Or refer someone

Job Openings Data Scientist - Remote

About the job 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

Apply for Position

Or refer someone

Share

• Facebook
• Line
• LinkedIn
• X (Formerly Twitter)
• Whatsapp
• Email