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Weekend Data Science Jobs in Kentucky (NOW HIRING)

Position AI Data Science Analytics Location USA, Louisville, KY How You'll Create Possibilities The AI Data Science Analytics position runs from August 17, 2026 - December 11, 2026, and is based in ...

Every training session is recorded and posted to the batch after each weekend class. We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for ...

... after each weekend class. • We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Lead complex data science projects from conception to implementation, working with various stakeholders (e.g., global control center, pilots, sales, etc.) to define objectives, timelines and success ...

Execution of data science initiatives, including design, development, and implementation. * Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high ...

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Execution of data science initiatives, including design, development, and implementation. * Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high ...

New

Execution of data science initiatives, including design, development, and implementation. * Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high ...

New

Translate business challenges into structured AI, machine learning, and data science initiatives * Support the adoption and integration of AI-driven tools, workflows, and automation capabilities ...

Translate business challenges into structured AI, machine learning, and data science initiatives * Support the adoption and integration of AI-driven tools, workflows, and automation capabilities ...

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 ...

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

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Working across software, electrical, mechanical, science, and operations teams, the Image Data ... Willingness to support non-nominal hours, including evenings, weekends, and holidays, as required ...

Working across software, electrical, mechanical, science, and operations teams, the Image Data ... Willingness to support non-nominal hours, including evenings, weekends, and holidays, as required ...

Manage the execution of data science strategies and initiatives, including the design, development and implementation. * Guide and execute the strategic decision in collaboration with data scientists ...

Manage the execution of data science strategies and initiatives, including the design, development and implementation. * Guide and execute the strategic decision in collaboration with data scientists ...

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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:

AI Data Science Analytics

GE Appliances

Louisville, KY • On-site

Full-time

Posted 5 days ago


Job description

At GE Appliances, a Haier company, we come together to make "good things, for life." As the fastest-growing appliance company in the U.S., we're powered by creators, thinkers and makers who believe that anything is possible and that there's always a better way. We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together.
The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities: we come together, we always look for a better way, and we create possibilities.
Interested in joining us on our journey?
As a Technical Co-op, you will have the opportunity to Imagine, Design, Build, & Learn! This role offers hands-on experience while working on challenging projects that contribute to the company's growth! You will have the opportunity to work with some of the brightest minds in the business and partner with a mentor who will help set your specific goals, deliverables, and expectations throughout your rotation.
Position
AI Data Science Analytics
Location
USA, Louisville, KY
How You'll Create Possibilities
The AI Data Science Analytics position runs from August 17, 2026 - December 11, 2026, and is based in Louisville, KY. Housing and relocation assistance is available for eligible students.
Essential Duties & Responsibilities
  • Work alongside the AI Chat team to develop and enhance AI-powered tools and applications.

  • Analyze existing data, processes, and systems to identify inefficiencies and opportunities for improvement.

  • Investigate root causes of issues within existing AI and analytics solutions and develop effective resolutions.

  • Design, build, and test AI and data science solutions that improve operational efficiency and business outcomes.

  • Collaborate with engineers, data scientists, and business partners to implement innovative AI solutions.

  • Leverage data analytics and machine learning techniques to solve real-world business challenges.

Required Qualifications
  • Completed a bachelor's degree in Mathematics, Data Science, or a related quantitative field from an accredited university.

  • May 2026 graduation date

  • Cumulative GPA >=3.0 (out of 4.0) at the time of graduation

  • Legal authorization to work in the country/region where the business is hiring is required. We will not sponsor individuals for employment visas now, nor in the future, for this position.

Desired Qualifications
  • Related coursework

  • Exceptional interpersonal and communication skills

  • Solid analytical skills

  • Desire and ability to learn

  • Passion for engineering

What You'll Bring to Our Team
GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GEA, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
GE Appliances offers a great work environment, professional development, challenging careers, and competitive compensation. GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Our Culture
Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D). This underscores our commitment to fostering an environment where every individual feels valued, connected, and empowered to contribute, while positioning our organization to adapt seamlessly to the evolving needs of our workforce and communities.
This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute. Strengthen communities where we live and work. Reinforce a culture of belonging, purpose, and engagement. Reflect the diversity of the communities we serve through our workforce, products, and practices.
By further embedding Zero Distance into our People and Culture framework, we will continue to build a deeply connected organization. We are cultivating a culture of engagement, belonging, and connection, because while attracting new talent remains a priority, retention is a cornerstone of our strategy.
GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GE Appliances, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.
GE Appliances is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S
If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e-mail to ask.recruiting@geappliances.com