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Weekend Data Science Jobs in Kentucky (NOW HIRING)

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

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Weekend Data Science information

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

What are the most commonly searched types of Data Science jobs in Kentucky? The most popular types of Data Science jobs in Kentucky are:
What are popular job titles related to Weekend Data Science jobs in Kentucky? For Weekend Data Science jobs in Kentucky, the most frequently searched job titles are:
Biomedical Data Scientist

Biomedical Data Scientist

University of Kentucky

Lexington, KY • On-site, Remote

$58K - $96K/yr

Full-time

Posted 3 days ago


University Of Kentucky rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

273rd of 553 rated colleges and universities


Job description

Posting Details
Job Title Biomedical Data Scientist Requisition Number RE55044 Working Title Department Name 7P180:DEPT OF BIOSTATISTICS Work Location Lexington, KY Grade Level 47 Salary Range $58,302-96,179/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

1 yr

Required License/Registration/Certification
None
Physical Requirements
Occasional lifting up to 15 pounds, sitting for extended periods of time
Shift
Monday - Friday Between the hours of 8:00 a.m. - 5:00 p.m. Additional hours when needed to meet department needs
Job Summary
The Department of Biostatistics seeks a biomedical data scientist with experience in collaborative research and analysis of biomedical data including clinical and observational data. The candidate will work in the Biostatistics Consulting and Interdisciplinary Research Collaboration Lab (Biostat CIRCL) to collaborate with research partners across campus to translate research ideas into well-designed studies, implement appropriate statistical methodologies to answer research questions, and interpret findings. Day-to-day tasks include consulting with research partners, creating data management and analytic plans, statistical programming, data visualization, automated report generation, and scientific writing. As a member of the Biostat CIRCL, the position will advance the team science mission of the unit and build infrastructure for effective data science practices on interdisciplinary research teams. This position may be on campus or fully remote.
Skills / Knowledge / Abilities
Statistical programming expertise (R or SAS) required
Does this position have supervisory responsibilities? No Preferred Education/Experience
PhD or [MS + 1 year experience] required. Graduate degree(s) in Biostatistics, Data Science, or Statistics preferred.
Deadline to Apply 07/16/2026 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.
The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status.
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.

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About University of Kentucky

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The University of Kentucky (UK), the state's flagship university, was founded in 1865 and its beautiful, sprawling campus, nestled in downtown Lexington, now covers over 900 acres and is home to more than 30,000 students and approximately 13,500 employees. The trees and beautifully manicured greenspaces are a source of pride for the university and combine to create an impressive oasis amidst the busy cityscape that surrounds it.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Lexington, KY, US

Year founded

1865