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

FocusKPI

Marketing Operations Analyst

Frankfort, KY · On-site

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

FocusKPI

Marketing Operations Analyst

Lexington, KY · On-site

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

Baptist Health

AI Manager

Lexington, KY · Remote

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 ...

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All JobsComputer Data Scientist JobsComputer Data Scientist Jobs in Lexington, KY

Computer Data Scientist information

See Lexington, KY salary details

$40.5K

$145.3K

$214.5K

How much do computer data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for computer data scientist in Lexington, KY is $145,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $149,700.00 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 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.

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 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.

Are data scientists still in demand?

Data scientists remain in high demand due to the increasing reliance on data-driven decision making across industries. They typically require skills in programming, statistical analysis, and machine learning, and often work with tools like Python, R, and SQL. The role is expected to grow as organizations continue to prioritize data analysis and artificial intelligence initiatives.

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:

What job categories do people searching Computer Data Scientist jobs in Lexington, KY look for?

The top searched job categories for Computer Data Scientist jobs in Lexington, KY are:

Computer Data Scientist jobs near you

Marketing Operations Analyst

FocusKPI

Frankfort, KY • On-site

Full-time

Re-posted 16 days ago

Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • 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
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered

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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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