1

Applied Mathematics Computer Science Jobs in Kentucky

$120 - $190/hr

Education: Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related ... Publications or demonstrated expertise in applied machine learning #J-18808-Ljbffr

$251 - $286/hr

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience ...

New

$251 - $286/hr

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience ...

New

$120 - $180/hr

Exceptional faculty (tenured or tenure-track) with expertise in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields * Exceptional newly ...

$100 - $150/hr

Bachelor's degree in Data Science, Engineering, Applied Mathematics, Computer Science, Analytics, or related field * Experience with Python, R, or similar analytics tools * Experience working with ...

New

$65 - $173/hr

... Applied Mathematics, Computer Science, Engineering, or a related field. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $64,890.00 - $173,040.00 This ...

New

$160 - $240/hr

Bachelor's degree in Data Science, Engineering, Applied Mathematics, Computer Science, Analytics, or related field and more than 10 years of relevant experience * Experience with Python, R, or ...

New

$195 - $260/hr

Bachelor's or master's degree in data science, Statistics, Applied Mathematics, Computer Science, or related quantitative discipline. The proposed salary range for this position in Virginia is 195 ...

$180 - $240/hr

Academic degree in applied mathematics, computer science, statistics engineering or physics. PhD or any other track record in conducting independent research. * Minimum 3+ years of experience in the ...

$117 - $184/hr

OR*** MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 3 years SAS programming experience in a clinical trial environment*

Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred * M.S. or Ph.D. in a related field highly desired * 5+ years of experience with machine ...

$60 - $90/hr

USA Computer Science Machine Learning Others About this opportunity The Applied Data Fellowship (ADF) at the University of Chicago Harris School of Public Policy is a high-impact program that embeds ...

Showing results 21-40

Applied Mathematics Computer Science information

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

Is applied mathematics related to computer science?

Applied mathematics is closely related to computer science, as it provides foundational concepts such as algorithms, data analysis, and modeling that are essential in computing. Many computer science roles, including those in software development and data science, require strong mathematical skills and knowledge of mathematical tools like linear algebra and calculus.

What can I do with a degree in applied mathematics and computer science?

A degree in applied mathematics and computer science prepares individuals for roles such as data analyst, software developer, quantitative analyst, or systems engineer. These positions often require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or MATLAB, and may involve working in industries such as finance, technology, or research.

What can you do with a BS in applied mathematics computer science?

A BS in applied mathematics and computer science prepares graduates for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require skills in programming, statistical analysis, and problem-solving, and may involve working with tools like Python, R, or SQL in various industries including finance, technology, and engineering.

What are popular job titles related to Applied Mathematics Computer Science jobs in Kentucky?

For Applied Mathematics Computer Science jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Applied Mathematics Computer Science jobs in Kentucky look for?

The top searched job categories for Applied Mathematics Computer Science jobs in Kentucky are:

What cities in Kentucky are hiring for Applied Mathematics Computer Science jobs?

Cities in Kentucky with the most Applied Mathematics Computer Science job openings:

Infographic showing various Applied Mathematics Computer Science job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 10% Part Time, 7% Temporary, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution.

$120 - $190/hr

Other

Posted 8 days ago


Job description

Position Summary

The Data Scientist is responsible for applying advanced statistical and machine learning techniques to Government’s data to generate predictive insights, develop forecasting models, and support data-driven decision-making. This role works closely with AI Engineers and Data Analysts to integrate predictive capabilities into dashboards and operational systems.

Key Responsibilities
  • Build and deploy predictive models for operations (e.g., predictive maintenance, demand forecasting, anomaly detection)
  • Perform statistical analysis and trend forecasting on historical data
  • Develop machine learning models trained on Government's data for specific use cases
  • Integrate predictive analytics into Power BI dashboards and operational systems
  • Design and implement AI-assisted data quality checks including ML-based anomaly detection
  • Conduct exploratory data analysis to identify patterns and insights
  • Evaluate model performance and implement continuous improvement processes
  • Collaborate with Data Engineers on data pipeline requirements for ML workflows
  • Document model methodologies, assumptions, and performance metrics
  • Present findings and recommendations to technical and non-technical stakeholders
  • Support AI Governance Board with model performance reporting and bias assessments
Required Qualifications
  • Education: Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field (Master's with extensive experience considered)
  • Experience: 7+ years of experience building and deploying predictive models in production environments
  • Technical Skills:
    • Expert proficiency in Python and/or R for data science
    • Strong knowledge of machine learning algorithms and statistical techniques
    • Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch)
    • Proficiency in SQL and database querying
    • Experience with cloud data platforms (Azure ML, AWS, GCP)
    • Knowledge of time series forecasting and anomaly detection techniques
    • Familiarity with data visualization tools (Power BI, Tableau)
Preferred Qualifications
  • Domain knowledge in manufacturing analytics, quality control, or production operations
  • Experience in federal government data science programs
  • Knowledge of Responsible AI principles and model governance
  • Experience with Azure Machine Learning and Azure Synapse Analytics
  • Publications or demonstrated expertise in applied machine learning
#J-18808-Ljbffr