Yum Crave AI is seeking a Data Scientist to support the development and implementation of machine learning models that address operational and business needs. In this role, you will work on ...
Yum Crave AI is seeking a Data Scientist to support the development and implementation of machine learning models that address operational and business needs. In this role, you will work on ...
AI & GenAI Data Scientist-Senior Associate
Louisville, KY · On-site
$77K - $202K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...
New
AI & GenAI Data Scientist-Senior Associate
Louisville, KY · On-site
$77K - $202K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...
New
Senior Data Scientist (SMTS)
Bellevue, KY · On-site
$148.50 - $223.90/hr
## Senior Data Scientist (SMTS)Applyremote type: Office - Flexiblelocations: Washington - Bellevue ... We leverage AI, machine learning, and contemporary data techniques to advance behavior- and ...
Senior Data Scientist (SMTS)
Bellevue, KY · On-site
$148.50 - $223.90/hr
## Senior Data Scientist (SMTS)Applyremote type: Office - Flexiblelocations: Washington - Bellevue ... We leverage AI, machine learning, and contemporary data techniques to advance behavior- and ...
Data Scientist Analyst
Louisville, KY · On-site +1
Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Apply machine learning and AI techniques to uncover leading indicators of health utilization trends ...
Data Scientist Analyst
Louisville, KY · On-site +1
Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Apply machine learning and AI techniques to uncover leading indicators of health utilization trends ...
Machine Learning Tutor
Lexington, KY · Remote
$18 - $40/hr
... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Lexington, KY · Remote
$18 - $40/hr
... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Louisville, KY · Remote
$18 - $40/hr
... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
Machine Learning Tutor
Louisville, KY · Remote
$18 - $40/hr
... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
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:
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Kentucky? For Entry Level Data Scientist Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Kentucky look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Kentucky are:
What cities in Kentucky are hiring for Entry Level Data Scientist Machine Learning jobs? Cities in Kentucky with the most Entry Level Data Scientist Machine Learning job openings:
Full-time
Re-posted 3 days ago
Yum! Brands rating
5.4
Based on 13 frontline employees who took The Breakroom Quiz
Job description
Job Summary:
Yum Crave AI is seeking a Data Scientist to support the development and implementation of machine learning models that address operational and business needs. In this role, you will work on moderately complex modeling assignments and collaborate with cross-functional teams to deliver scalable AI/ML solutions.
Responsibilities:
• Develop and implement machine learning models using established approaches (regression, classification, forecasting, optimization)
• Translate business and operational requirements into structured modeling problems with guidance from senior team members
• Perform feature engineering, model training, validation, and evaluation using defined best practices
• Contribute to improving existing models and pipelines
• Support the design and analysis of experiments (e.g., A/B tests, simulations) under guidance
• Monitor model performance and identify opportunities for improvement
• Apply standard processes to assess model quality, accuracy, and reliability
• Work with structured and semi-structured datasets to prepare data for modeling
• Write clean, maintainable Python and SQL code
• Partner with Data Engineering and ML Engineering to support model deployment
• Clearly communicate analytical findings to technical and non-technical stakeholders
• Document assumptions, methodologies, and results
• Build strong working relationships within the immediate team and cross-functional partners
Qualifications:
Required:
• Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics)
• 2+ years of experience in data science or machine learning
• Experience applying machine learning techniques to real-world problems
• Proficiency in Python and SQL
• Understanding of model evaluation metrics and validation approaches
Preferred:
• Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch)
• Experience working in cloud environments (AWS, GCP, or Azure)
• Familiarity with experimentation methodologies (A/B testing)
• Experience collaborating with engineering teams on production deployments
Company:
Yum! Brands is a quick-service restaurant brand that primarily operates the likes of KFC, Pizza Hut, and Taco Bell. Founded in 1997, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Yum Crave AI is seeking a Data Scientist to support the development and implementation of machine learning models that address operational and business needs. In this role, you will work on moderately complex modeling assignments and collaborate with cross-functional teams to deliver scalable AI/ML solutions.
Responsibilities:
• Develop and implement machine learning models using established approaches (regression, classification, forecasting, optimization)
• Translate business and operational requirements into structured modeling problems with guidance from senior team members
• Perform feature engineering, model training, validation, and evaluation using defined best practices
• Contribute to improving existing models and pipelines
• Support the design and analysis of experiments (e.g., A/B tests, simulations) under guidance
• Monitor model performance and identify opportunities for improvement
• Apply standard processes to assess model quality, accuracy, and reliability
• Work with structured and semi-structured datasets to prepare data for modeling
• Write clean, maintainable Python and SQL code
• Partner with Data Engineering and ML Engineering to support model deployment
• Clearly communicate analytical findings to technical and non-technical stakeholders
• Document assumptions, methodologies, and results
• Build strong working relationships within the immediate team and cross-functional partners
Qualifications:
Required:
• Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics)
• 2+ years of experience in data science or machine learning
• Experience applying machine learning techniques to real-world problems
• Proficiency in Python and SQL
• Understanding of model evaluation metrics and validation approaches
Preferred:
• Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch)
• Experience working in cloud environments (AWS, GCP, or Azure)
• Familiarity with experimentation methodologies (A/B testing)
• Experience collaborating with engineering teams on production deployments
Company:
Yum! Brands is a quick-service restaurant brand that primarily operates the likes of KFC, Pizza Hut, and Taco Bell. Founded in 1997, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
What Yum! Brands employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Yum! Brands
Sourced by ZipRecruiter
Industry
Food services and drinking places
Company size
1,001 - 5,000 Employees
Headquarters location
Louisville, KY, US
Year founded
1997