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- Lexington, KY
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Data Scientist I
Salary
Job Description
University of Kentucky Equal Employment Opportunity/M/F/disability/protected veteran status. Posting Details Posting Details Job Title Data Scientist I Requisition Number RE49982 Working Title Department Name 7H503:OBSTETRICS & GYNECOLOGY - MATERNAL FETAL Work Location Lexington, 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: https://hr.uky.edu/employment/working-uk/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 through Friday, 8:00AM - 5:00PM. Job Summary This remote Data Scientist I position will join our Division of Maternal Fetal Medicine Research Team with responsiblilities for independently or collaboratively performing statistical analysis and/or ML pipeline development using large and often disparate data sets to identify important relationships/trends, deploy predictive models, & summarize/communicate findings to technical/non-technical stakeholders. The Data Scientist may have occasional in-person meetings in Lexington, KY and should be familiar with data management, BI reporting tools, data science/statistical techniques, ML techniques including (but not limited to): Data analysis programming and visualization languages (R, Python, SAS); Applied statistics including MVA, MLR; Independent/collaborative development and deployment of common machine learning (ML) models; Data visualization using software (Tableau, Power Bi); Formal training/professional experience using relational databases (MySQL, T-SQL, SQL Server). Please note that this position is grant-funded, and continued employment is contingent upon the availability of grant funding. If the funding is reduced or terminated for any reason, the position may be discontinued. 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 04/22/2025 Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone 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. Posting Specific Questions Required fields are indicated with an asterisk (*). • * How many years experience do you have in programming in R, Python, etc? • None • More than 0, up through 1 year • More than 1 year, up through 3 years • More than 3 years, up through 5 years • More than 5 years • * How many grant proposals have you developed or been the major content contributor on? • None • 1-2 • 3-5 • More than 5 • * How many years of experience do you have with SQL or other SQL-based querying language? • None • More than 0, up through 1 year • More than 1 year, up through 2 years • More than 2 years, up through 3 years • More than 3 years • * Please describe your experience and level of familiarity using 1. database management/analysis tools (e.g., Excel, Tableau, Access), and 2. statistical analysis tools (e.g., SPSS, R, Stata). (Open Ended Question) • * Please choose the answer that best describes your years of experience facilitating/assisting in the development/deployment of machine learning predictive models. • None • More than 0, up through 1 year • More than 1 year, up through 3 years • More than 3 years, up through 5 years • More than 5 years Applicant Documents Required Documents • Curriculum Vita Optional Documents • Cover Letter Equal employment opportunity, including veterans and individuals with disabilities Apply Here: https://www.click2apply.net/o1JMLEcdL8X8PtVjOUllOj PI267985953 About the Company: University of KentuckyMin Qualification
• 3 yrs • Working at a desk for long periods of time; utilizing a computer; repetitive motion • Data analysis programming and visualization languages (R, Python, SAS); Applied statistics including ... • 3 yrs • Working at a desk for long periods of time; utilizing a computer; repetitive motion • Data analysis programming and visualization languages (R, Python, SAS); Applied statistics including MVA, MLR; Independent/collaborative development and deployment of common machine learning (ML) models; Data visualization using software (Tableau, Power Bi); Formal training/professional experience using relational databases (MySQL, T-SQL, SQL Server) • Proficiency with R, SAS, SQL, and Tableau • These screenings may include a national background check and/or drug screen • Required fields are indicated with an asterisk (*) • How many years experience do you have in programming in R, Python, etc? • More than 0, up through 1 year • More than 1 year, up through 3 years • More than 3 years, up through 5 years • More than 5 years • More than 5 • How many years of experience do you have with SQL or other SQL-based querying language? • More than 0, up through 1 year • More than 1 year, up through 2 years • More than 2 years, up through 3 years • More than 3 years • Please describe your experience and level of familiarity using 1. database management/analysis tools (e.g., Excel, Tableau, Access), and 2. statistical analysis tools (e.g., SPSS, R, Stata) • More than 0, up through 1 year • More than 1 year, up through 3 years • More than 3 years, up through 5 years • More than 5 years • Curriculum Vita see moreApplying Instructions
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