Data Scientist I Job at University of Kentucky, Lexington, KY

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  • University of Kentucky
  • Lexington, KY

Job Description

Job Title:

Data Scientist I

Requisition Number:

RE47019

Department Name:

40502:Institute for Biomedical Informatics

Work Location:

Frankfort, KY

Grade Level:

46

Salary Range:

$52,021-85,800/year

Type of Position:

Staff

Position Time Status :

Full-Time

Required Education:

MS

Click here for more information about equivalencies::

Required Related Experience:

3 yrs

Required License/Registration/Certification:

None

Physical Requirements:

Working at a desk for long periods of time; utilizing a computer; repetitive motion.

Shift:

Monday – Friday, 8:00am-5:00pm

Job Summary:

The Institute for Biomedical Informatics is looking for a Data Scientist I to join our Medicaid Analytics team! This entry-level position will serve under the Research branch and be primarily responsible for independently or collaboratively performing statistical analysis and/or ML pipeline development using large and often disparate data sets to identify important relationships and trends, test/deploy predictive models, and summarize/communicate findings to various technical and non-technical clients/stakeholders. The Data Scientist should be familiar with various data management and BI reporting tools, data science/statistical techniques, machine learning (ML) techniques, and others including (but not limited to):

  • Fluency in one or more data analysis programming languages (R, Python, SAS);
  • Applied statistics (including advanced concepts such as MVA, MLR, etc.);
  • Independent or collaborative development and deployment of common machine learning (ML) models;
  • Data visualization using open source languages/software (R, Python, SAS, etc.) and/or data visualization software (Tableau, Power Bi, etc.);
  • Formal training or professional experience using relational databases (MySQL, T-SQL, SQL Server, etc.).
The position will work alongside senior Data Scientists to prepare grant proposals, support data science project endeavors, develop data visualizations, and collaborate with fellow researchers.

This entry-level position is currently remote, with occasional in-person meetings in Frankfort, KY.

As a University of Kentucky employee, you will be entitled to amazing health insurance options, employee discounts, and a 200% retirement match! Starting your first day, you will annually accrue 3 weeks of paid vacation, 12 sick days, and 10 holidays. We value work-life balance and want you to have the flexibility you need to do both.

Apply today and see why we were named among the nation’s top 10 large employers by Forbes magazine! Skills / Knowledge / Abilities:

Proficiency with R, SAS, SQL, and Tableau

Does this position have supervisory responsibilities? :

No

Preferred Education/Experience:

Master’s degree in statistics or related field plus 3 or more years of related experience preferred; Experience with substance use disorder research

Deadline to Apply:

09/18/2024

University Community of Inclusion:

The University of Kentucky is committed to a diverse and inclusive workforce by ensuring all our students, faculty, and staff work in an environment of openness and acceptance. We strive to foster a community where people of all backgrounds, identities, and perspectives can feel secure and welcome. We also value the well-being of each of our employees and are dedicated to creating a healthy place to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors the University of Kentucky is a Tobacco & Drug Free campus.

As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities.

Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Job Tags

Holiday work, Full time, Remote job, Shift work, Monday to Friday,

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