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Math Major Computer Science Minor Jobs in Kentucky

The position may require other duties, both major and minor, that are not mentioned, and specific ... Uses the computer system appropriately for debits, credits, reschedules, floor stock, and ...

Pharmacy Technician

Bowling Green, KY · On-site

$17 - $20.75/hr

The position may require other duties, both major and minor, that are not mentioned, and specific ... Uses the computer system appropriately for debits, credits, reschedules, floor stock, and ...

AI Solutions Engineering Delivery Lead

Louisville, KY · On-site

$98K - $129K/yr

... Computer Science, Data Science, Engineering, Mathematics, or related technical field - Minimum of ... major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational ...

Showing results 41-60

Math Major Computer Science Minor information

What is a math major computer science minor?

A Math Major with a Computer Science Minor typically works in fields that require strong analytical and computational skills, such as data science, software development, finance, or applied mathematics. They use their mathematical background to solve complex problems and their computer science knowledge to implement algorithms or develop software solutions. Common roles include data analyst, software engineer, actuarial analyst, or quantitative researcher. Their unique skill set allows them to bridge the gap between theoretical math and practical computing applications.

What are the key skills and qualifications needed to thrive in the math major computer science minor position, and why are they important?

A Math Major with a Computer Science Minor should have strong analytical, mathematical, and programming abilities, often supported by a bachelor's degree in mathematics with coursework in algorithms, data structures, and statistical analysis. Familiarity with tools like Python, MATLAB, R, or SQL, and experience using version control systems such as Git, are commonly required in technical roles. Excellent problem-solving, attention to detail, and strong communication skills help individuals collaborate effectively and present technical findings clearly. These skills and qualifications are vital for solving complex problems, driving data-driven decision-making, and succeeding in interdisciplinary technical environments.

What can you do with a math major and computer science minor?

A math major with a computer science minor qualifies for roles such as data analyst, software developer, or quantitative analyst. These positions often require strong problem-solving skills, programming knowledge, and familiarity with tools like Python, R, or SQL, and may involve working in tech, finance, or research environments.

What can I do with a math major computer science minor degree?

A math major with a computer science minor prepares graduates for roles such as data analyst, software developer, or quantitative analyst. These positions often require strong problem-solving skills, programming knowledge in languages like Python or Java, and understanding of algorithms and data structures.

What types of entry-level roles are available for candidates with a background as a math major and computer science minor?

Math Majors with a Computer Science Minor are frequently hired for entry-level positions such as data analyst, software engineer, quantitative analyst, research assistant, or business intelligence associate. In these roles, you may analyze data, write code, develop algorithms, or assist in software development projects, often as part of a collaborative, cross-functional team. This combination of skills opens doors to diverse industries including finance, technology, consulting, healthcare, and academia. As you gain experience, there are ample growth opportunities toward more specialized or senior positions such as data scientist, machine learning engineer, or quantitative researcher.

What jobs can I get with a math major computer science minor?

A math major with a computer science minor qualifies for roles such as data analyst, software developer, quantitative analyst, or operations researcher. These positions often require strong analytical, programming, and problem-solving skills, and may involve tools like Python, R, or SQL. Job opportunities are available in finance, technology, consulting, and research sectors.
What are the most commonly searched types of Math Major Computer Science Minor jobs in Kentucky? The most popular types of Math Major Computer Science Minor jobs in Kentucky are:
What job categories do people searching Math Major Computer Science Minor jobs in Kentucky look for? The top searched job categories for Math Major Computer Science Minor jobs in Kentucky are:
What cities in Kentucky are hiring for Math Major Computer Science Minor jobs? Cities in Kentucky with the most Math Major Computer Science Minor job openings:
Infographic showing various Math Major Computer Science Minor job openings in Kentucky as of July 2026, with employment types broken down into 55% Full Time, 27% Part Time, and 18% Contract. Highlights an 100% In-person job distribution.

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte

Louisville, KY • On-site

Full-time

Re-posted 17 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 10th 2026.

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 10th 2026.

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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