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Data Science Research Assistant Jobs in Kentucky

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of hands-on experience in a data science or similar ...

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

$180 - $200/hr

Position Summary Join our dynamic Investment Data Science Team as an Embedded Data Scientist to ... research and diligence processes. * Collaborate with engineering and product teams to productionize ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Manage the execution of data science strategies and initiatives, including the design, development ... research/ML engineering or an applied research scientist position preferably with a focus on ...

Galls

Data Scientist

Lexington, KY

Research, evaluate, and implement emerging AI technologies, frameworks, and methodologies AI/ML ... Translate business challenges into structured AI, machine learning, and data science initiatives

Galls

Data Scientist

Lexington, KY · On-site

Research, evaluate, and implement emerging AI technologies, frameworks, and methodologies AI/ML ... Translate business challenges into structured AI, machine learning, and data science initiatives

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Manage the execution of data science strategies and initiatives, including the design, development ... research/ML engineering or an applied research scientist position preferably with a focus on ...

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All JobsData Science Research JobsData Science Research Assistant JobsData Science Research Assistant Jobs in Kentucky

Data Science Research Assistant information

See Kentucky salary details

$7

$19

$27

How much do data science research assistant jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data science research assistant in Kentucky is $19.03, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.12 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.
What are popular job titles related to Data Science Research Assistant jobs in Kentucky? For Data Science Research Assistant jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant jobs in Kentucky look for? The top searched job categories for Data Science Research Assistant jobs in Kentucky are:
What cities in Kentucky are hiring for Data Science Research Assistant jobs? Cities in Kentucky with the most Data Science Research Assistant job openings:
Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,580 per year, or $19 per hour.

Staff Data Scientist

Atlas Air

Erlanger, KY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Join Atlas Air Worldwide. Move the World with Us!
At Atlas Air Worldwide, we're not just an airline, we're a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we're built on a foundation of safety, service excellence, integrity, innovation, teamwork, and responsibility. With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we're driven by purpose.
If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here.
Position Summary: We are looking for a brilliant and highly motivated Staff Data Scientist to join our innovative Data Analytics and Optimization team! This isn't just another analytics role - you'll be at the forefront of transforming Atlas Air through the power of data.
In this position, you will develop data-driven technology solutions for a variety of high-dimensional resource management problems in aviation involving complex trade-offs under uncertainty. You will collaborate with leaders across our organization to uncover hidden opportunities, tackle challenging data puzzles, and build sophisticated predictive and prescriptive models that drive real-world impact. Your insights won't just live in dashboards - the fruits of your work will shape our strategic direction, be operationalized in our processes, and will fuel our competitive advantage.
The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and operations research skillfulness, along with the rare ability to translate complex technical concepts into compelling stories that inspire action among non-technical leaders.
If you're passionate about using cutting-edge science and technology to solve meaningful problems and want to be part of a team that values your analytical superpowers, this role is your next adventure!
Major Accountabilities:
  • Collaborate with cross-functional teams including engineering, product, and business stakeholders to identify opportunities for leveraging data to drive business solutions around airline operations.
  • 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 metrics.
  • Translate business requirements into data science or analytics projects with well-defined deliverables and timelines.
  • Design and conduct experiments to test hypotheses and measure the impact of work against objectives.
  • Collect, process, clean, and analyze structured and unstructured data from various internal and external sources.
  • Extract, transform, and analyze large datasets from various sources.
  • Perform exploratory data analysis to uncover patterns, trends, and relationships within large datasets.
  • Design, develop, and maintain sophisticated decision support tools leveraging machine learning and optimization models and algorithms to solve business challenges and unlock value.
  • Create clear data visualizations and compelling narratives to communicate findings to technical and non-technical audiences.
  • Mentor less experienced data scientists, providing technical guidance, setting clear objectives, and fostering professional growth.
  • Stay current with emerging techniques and technologies in data science and machine learning.
  • Collaborate with data engineering to implement production-ready solutions.
  • Monitor model performance and iterate on solutions as needed.
  • Establish best practices and methodologies for the data science function.
  • Research and implement new methodologies and technologies to improve Atlas Air's data and AI/ML

Qualifications:
Must-Have:
  • Master's degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of hands-on experience in a data science or similar analytical role, with a track record of impact.
  • Expertise in programming languages such as Python, R, or similar programming languages for data analysis.
  • Proficiency with data manipulation tools (e.g., SQL, Pandas, Spark) and machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, etc.).
  • Strong knowledge of statistical analysis and hypothesis testing.
  • Strong understanding of statistical modeling, machine learning algorithms, hypothesis testing, and optimization.
  • Excellent communication, presentation, and interpersonal skills with the ability to translate complex technical concepts to non-technical audiences.
  • Proven ability to translate business requirements into technical solutions.
  • Proven ability to apply software engineering best practices.
  • Experience working in production-grade Python code including proficiency with git, testing, and other software engineering best practices.

Nice-to-Have:
  • Master's degree or Ph.D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
  • Domain expertise in aviation, transportation, or logistics.
  • History of technical leadership on significant data science initiatives.
  • Contributions to related research publications and/or open-source projects.
  • Experience with big data platforms (e.g., Spark/Databricks).
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
  • Experience with optimization libraries (OR-Tools, Gurobi, or CPLEX)

Applicants must be legally authorized to work in the United States. This position is not eligible for employment visa sponsorship or employer immigration support either now or in the future.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking "EEO Is The Law" .
To view our Pay Transparency Statement, please click here: Pay Transparency Statement
Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package.
Pay Range
$165,000-$225,000 USD
At Atlas Air Worldwide, we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.

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