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Entry Level Data Scientist Machine Learning Jobs in Kentucky

GE Appliances

AI Data Science Analytics

Louisville, KY · On-site

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 ...

Quora

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

Quora

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

Quora

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

Quora

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

Quora

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

Quora

$139K - $168K/yr

Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and ... D. in Computer Science, Engineering or a related technical field * Strong understanding of ...

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Entry Level Data Scientist Machine Learning information

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Kentucky? The most popular types of Data Scientist Machine Learning jobs in Kentucky are:
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Entry Level Data Scientist Machine Learning jobs near you

AI Data Science Analytics

GE Appliances

Louisville, KY • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

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, andwe 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.PositionAI Data Science AnalyticsLocationUSA, Louisville, KYHow You'll Create Possibilities

TheAI Data Science Analyticspositionruns fromAugust 17, 2026-December 11, 2026,and is based inLouisville, KY. Housing and relocationassistanceis availablefor 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 toidentifyinefficiencies 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 2026graduation 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 ishiringisrequired. 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 isimportantwe 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 offersa great workenvironment, 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 toask.recruiting@geappliances.com

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