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Weekend Data Science Jobs in Kentucky (NOW HIRING)

TSMG

AI/ML Data Contributor

Louisville, KY

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

TSMG

AI/ML Data Contributor

Louisville, KY

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

TSMG

AI/ML Data Contributor

Louisville, KY

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

TSMG

AI/ML Data Contributor

Louisville, KY

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

TSMG

AI/ML Data Contributor

Louisville, KY · On-site

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

TSMG

AI/ML Data Contributor

Louisville, KY

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

University of Kentucky

Implementation Scientist

Lexington, KY · On-site

$58K - $59K/yr

Special emphasis is placed on implementation science, patient and community engagement, quality of cancer care delivery, and health equity. All career stages are welcome. Attractive start up package ...

Humana

Data Engineer, Synthetic Data Generation

Louisville, KY · On-site +1

$110K - $132K/yr

Bachelor's degree in Computer Science, Information Systems, or related field. * 3+ years experience with SQL , relational databases, and data modeling. * Experience working with EDI/X12 healthcare ...

Humana

Data Engineer, Synthetic Data Generation

Louisville, KY · On-site +1

$110K - $132K/yr

Bachelor's degree in Computer Science, Information Systems, or related field. * 3+ years experience with SQL , relational databases, and data modeling. * Experience working with EDI/X12 healthcare ...

Samprasoft

Data Engineer II

Covington, KY · On-site

$111K - $133K/yr

Bachelor's degree in Computer Science or Engineering. * 9+ years' experience developing data solutions and data movement capabilities in Oracle /AWS * Experience working with backend SQL database ...

ADM

Data Readiness Analyst II

Erlanger, KY

Data Readiness Analyst II, Archer Daniels Midland Company, Erlanger, KY. Partner with Solution ... Bachelor's degree or foreign equivalent degree in Information Technology, Computer Science ...

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All JobsWeekend Data Science JobsWeekend Data Science Jobs in Kentucky

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:
What job categories do people searching Weekend Data Science jobs in Kentucky look for? The top searched job categories for Weekend Data Science jobs in Kentucky are:
Weekend Data Science jobs near you

AI/ML Data Contributor

TSMG

Louisville, KY

Part-time

Posted 2 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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