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Computer Science Jobs in Pikeville, KY (NOW HIRING)

PhD or master's in Computer Science, Statistics, Engineering or a related field * 8+ years of hands-on experience in Data Science or ML Engineering, with at least 4+ years in a leadership role ...

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Computer Science information

See Pikeville, KY salary details

$53.6K

$78.9K

$93K

How much do computer science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer science in Pikeville, KY is $78,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $88,700.00 per year, depending on experience, location, and employer.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.

What are the most commonly searched types of Computer Science jobs in Pikeville, KY?

The most popular types of Computer Science jobs in Pikeville, KY are:

What are popular job titles related to Computer Science jobs in Pikeville, KY?

For Computer Science jobs in Pikeville, KY, the most frequently searched job titles are:

What job categories do people searching Computer Science jobs in Pikeville, KY look for?

The top searched job categories for Computer Science jobs in Pikeville, KY are:

What cities near Pikeville, KY are hiring for Computer Science jobs?

Cities near Pikeville, KY with the most Computer Science job openings:

Infographic showing various Computer Science job openings in Pikeville, KY as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $78,860 per year, or $37.9 per hour.

Principal Data Scientist New (Northern)

Gradient AI Corp.

Eastern, KY • On-site

$190K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 17 days ago


Key responsibilities

  • Lead the organization's most complex and high-impact modelling and analytical initiatives.

  • Set modelling strategy, drive novel work, and raise technical standards for building and shipping models.

  • Leverage deep learning, large language models, and traditional data science techniques to create hybrid models and demonstrate their value.


Job description

This is a fully remote opportunity with hybrid available to those local to Boston.

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact. Our platform harnesses a vast industry data lake – tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals – integrating cleanly with existing workflows to make complex risk clear, usable, and actionable. Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry . We are b acked by $56M in Series C funding and scaling fast – and it's an exciting time to join the team !

About the Role:

We are looking for a Principal Data Scientist with deep, specialized expertise to lead our organization's most complex and high-impact modelling and analytical initiatives. As a recognized technical authority, you will set modelling strategy across the organization, drive our most novel work, and raise the technical standard for how we build and ship models.

How you will make an impact:
  • Leverage the bestof moderndeep learning&large language modelswithtraditional data science techniquesto create powerful hybrid models withreal uplift.
  • Brainstorm, prototype,prove,deploy, and realize the value of your work inmarketquickly.
  • Everythingyou would expectona world-class data science teamsolving world-class problems.Big data.Federated learning.Unstructured data challenges.Timeseries and sequencemodelling.A self-serve buffet of techniques from GLMstoXGBoostto Transformers.
  • Tellstories with your data.Inspiretrust in customers, stakeholders, and prospectsby turning murky math into a powerful message thatdrives the bottom line.
Who you are and why we want to work with you:
  • Youlike getting things over the line.You have an insatiable desire to deliver value now and improve next.MVP perfection is achieved not whenthere is nothing more to add, butwhenthere is nothing leftto take away.
  • You are not a software engineer, but you give them a run for their money.You preferPython toR anddon’tunderstand whythere isstill a debate.Jupyter isa necessary evil, andyou’venever met a command line that scared you away.
  • Youstilldo a better job than Claude,andyou’reskeptical of your friendswhosay they never code any more.
  • You love to take initiativeand spearhead new projects, even if they are not well defined.
  • You build systems bigger than you. You contribute to open source, build packages your peers want to use, or design frameworks to elevate your team.Reuse is a strategy, not a buzzword.
Skills needed to succeed:
  • Bachelor's degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 8+ years of professional data science experience building predictive models
  • OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building predictive models
  • Expert-level knowledge ofdeep learningand ML algorithmsand the core Python data scienceecosystem.
  • Strong communicationand collaboration skills, particularly communicating with nontechnical stakeholdersand leadership, and helping to pivot technical roadmaps to deliver their intended value rapidly
  • Deep experience withnatural language, medical data, long-tail predictions, or similar related problem spaces
  • Strong familiarity with all phases of theMLOpsmodel lifecycle, with experiencecreatingteamstandards and practicesto enforce quality and speed
  • Deep experiencebeing accountable for model impact long term – fromMLOpspipelines tomonitor fordrift, to KPI and impact monitoring, driving incremental and long-term improvements, triaging issues, addressing tech debt responsibly, etc.
Bonus Qualifications:
  • Fluency with actuarial methods and working with actuaries is a plus
  • Familiarity with healthcareand medical data
  • Familiarity with underwriting and claims, or predictinglong-tailedand/or rare events
What We Offer:
  • A fun, team-oriented startup culture.
  • Generous stock options - we all get to own a piece of what we’re building.
  • Flexible schedule that supports working from home.
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
  • Ample opportunities to learn and take on new responsibilities.

We are an equal opportunity employer.

Salary Range: $190,000-235,000k base salary annually.

This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location.Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

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