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Computer Data Scientist Jobs in Lexington, KY (NOW HIRING)

... Computer Science, Information Systems, Data Engineering, or a related field (Master's preferred). Data-mining and data-warehousing principles. Database management systems, query languages, table ...

Python Tutor

Lexington, KY · Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework. * Conceptual ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Scientist I

Lexington, KY · On-site

$44K - $71K/yr

Required License/Registration/Certification None Physical Requirements Sitting at a computer for ... sequence data analysis, and ensuring adherence to quality control standards. The successful ...

Scientist I

Lexington, KY · On-site

$44K - $71K/yr

Required License/Registration/Certification None Physical Requirements Sitting at a computer for ... sequence data analysis, and ensuring adherence to quality control standards. The successful ...

Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or Business Administration * 5+ years of relevant and related experience * Experience working with EHR ...

Showing results 21-40

Computer Data Scientist information

See Lexington, KY salary details

$45.7K

$164K

$242K

How much do computer data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for computer data scientist in Lexington, KY is $164,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $169,000.00 per year, depending on experience, location, and employer.

What is a computer data scientist?

A Computer Data Scientist is a professional who uses advanced analytical, statistical, and programming skills to collect, analyze, and interpret large sets of data. They apply techniques from computer science, mathematics, and statistics to extract meaningful insights, build predictive models, and help organizations make data-driven decisions. Computer Data Scientists often work with big data technologies, machine learning algorithms, and data visualization tools to solve complex business problems. Their work supports strategic planning, product development, and operational improvements in various industries.

What is the difference between Computer Data Scientist vs Data Analyst?

AspectComputer Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; often includes programming certificationsBachelor's degree in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst are common
Work EnvironmentTypically in tech companies, research labs, or data-driven organizations; involves complex data modeling and machine learningIn various industries like marketing, finance, healthcare; focuses on data visualization, reporting, and basic analysis
Employer & Industry UsageUsed in tech, finance, healthcare, and research sectors for advanced data modelingWidely used across industries for business insights and reporting

Computer Data Scientists and Data Analysts both work with data, but Data Scientists focus on complex modeling, machine learning, and programming, often requiring advanced degrees. Data Analysts primarily handle data reporting, visualization, and basic analysis. The roles differ in complexity, tools, and typical responsibilities, though they share foundational skills in data handling.

How do computer data scientists typically collaborate with other departments within an organization?

Computer Data Scientists often work closely with teams such as engineering, product management, and business analytics to translate complex data insights into actionable strategies. They regularly participate in cross-functional meetings to understand business problems, define data requirements, and present findings. Effective communication and teamwork are essential, as data scientists must ensure their models and analyses align with organizational goals and can be practically implemented by other departments.

What are the key skills and qualifications needed to thrive as a computer data scientist, and why are they important?

To excel as a Computer Data Scientist, you need a solid background in statistics, mathematics, programming (often Python or R), and a degree in computer science or a related field. Familiarity with data analysis tools like SQL, TensorFlow, scikit-learn, and experience with big data platforms such as Hadoop or Spark are highly valuable. Strong problem-solving abilities, critical thinking, and effective communication skills help translate data findings into actionable business insights. These skills are essential for extracting meaningful information from complex datasets and driving data-driven decision-making.
What are popular job titles related to Computer Data Scientist jobs in Lexington, KY? For Computer Data Scientist jobs in Lexington, KY, the most frequently searched job titles are:

Data Engineer Staff

Lockheed Martin

Lexington, KY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 391 frontline employees who took The Breakroom Quiz

37th of 71 rated aerospace companies


Job description


Lockheed Martin is looking for a Data Engineer who will deliver end to end, full stack data solutions across the complete data processing pipeline. You will apply systems engineering principles to design, build, and operate scalable pipelines that collect, ingest, transform, store, and serve data for analytics and mission critical applications while ensuring security, performance, and compliance with DoD/SOFSA standards.
Key Responsibilities
Pipeline Development & Maintenance • Build, test, and maintain robust data pipelines (batch & streaming) that clean, transform, and aggregate raw data into analytic ready data stores.• Implement data quality checks, smart caching, and virtualization techniques to guarantee consistency and reliability.• Build automated data management conduits that support machine learning data flows.
Data Architecture & Modeling • Collaborate with the Data Architect to create conceptual, logical, and physical data models that support business needs.• Define functional capabilities, security, backup, and recovery specifications for each solution.• Design and maintain systems that collect, store, and present data across the enterprise.
Lifecycle Management • Conduct data profiling, requirement analysis, and performance tuning throughout the solution lifecycle.• Deploy, monitor, and optimize ETL/ELT processes (e.g., Informatica, Talend) and related reporting/analytics layers.• Develop and implement data mining and data warehousing programs to enrich the enterprise data ecosystem.
Operations & Performance • Identify and resolve production incidents; tune system parameters for optimal throughput and latency.• Evaluate, integrate, and validate new releases or platform upgrades.• Manage the compilation, catalog ing, caching, distribution, and retrieval of data and maintain test data records.
Standards & Governance • Define and enforce best practice standards, certification processes, and metadata management policies for data objects.• Participate actively in the Data Governance Working Group.• Implement data management standards, requirements, and specifications and ensure compliance with data classification and handling rules through access control and security best practices.
Risk & Design Support • Assist early stage risk identification and mitigation for task order activities.• Support Critical Design Reviews (CDRs) and advise Integrated Product Teams (IPTs) on data related risks and mitigation strategies.
Cross Discipline Liaison • Serve as the technical liaison to Systems Engineering, IPT engineers, and other disciplines to ensure complete, documented requirements allocation for IT and data systems.• Prepare and release engineering drawings and associated data system documentation.
Technology Integration • Advise on and design the integration of new data technology solutions (e.g., IBM Cloud Pak for Data) into the SOFSA enterprise IT environment.• Advise higher level leadership on critical data management issues and emerging technology trends.
Reporting • Report directly to the Data Architect and provide status updates on pipeline health, performance metrics, and risk registers.
Additional Typical Duties (new content integrated) • Apply data acquisition, cleaning, transformation, and ingestion best practices for machine learning data conduits.• Assess and address methodological limitations to ensure reliable data delivery.• Read, interpret, write, modify, and execute simple scripts (e.g., PERL, VBS) on Windows and UNIX systems for parsing large files, automating manual tasks, and fetching/processing remote data.• Record, manage, and validate test data.• Establish data security controls, develop data dictionaries, and apply data mining techniques (e.g., file system searches).• Perform data pre processing (imputation, dimensionality reduction, normalization, transformation, extraction, filtering, smoothing).• Conduct transformation analytics (aggregation, enrichment, processing)
Basic Qualifications
Bachelor's degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field (Master's preferred).
Data-mining and data-warehousing principles.
Database management systems, query languages, table relationships, and views.
Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration.
DataOps processes and best practices.
Data-security roles and responsibilities; ability to implement access-control and encryption safeguards.
Knowledge of how to collect, store, monitor, and validate test data.
Ability to assess methodological limitations and recommend mitigation strategies.
Desired skills
IBM Cloud Pak for Data (CP4D) - Advanced
Oracle / Microsoft SQL Server - Advanced (schema design, performance tuning)
Microsoft Power BI Report Server - Proficient
Deltek COBRA - Working knowledge
Microsoft SharePoint - Working knowledge
SAP - Working knowledge
Teamcenter - Working knowledge
Scripting - Python, PowerShell - Basic to intermediate (data extraction, automation)
Data modeling & metadata management tools - Advanced
ETL/ELT design (Informatica, Talend) - Preferred
Cloud & distributed data platforms (AWS, Azure, GCP) - Preferred
Experience with creation of Analytical Databases - Preferred
Additional scripting - PERL, VBS (Windows/UNIX) - Basic
Hadoop, Java, Hive, PIG (for data exploration) - Familiarity
Relevant certifications (e.g., IBM Certified Data Engineer, TOGAF, Certified Data Management Professional, Security+) are a plus.
EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
*
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to work remotely
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
National Pay Statement
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $113,900 - $200,905. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $131,000 - $227,125. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.

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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912