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Python Analytics Jobs in Lexington, KY (NOW HIRING)

Strong Python experience * Experience developing scientific software, image-analysis applications, or data-processing pipelines. * Experience with scientific imaging, computer vision, microscopy, or ...

Strong Python experience * Experience developing scientific software, image-analysis applications, or data-processing pipelines. * Experience with scientific imaging, computer vision, microscopy, or ...

Strong Python experience * Experience developing scientific software, image-analysis applications, or data-processing pipelines. * Experience with scientific imaging, computer vision, microscopy, or ...

Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy * Relentlessly iterate solutions within a fast-paced ...

Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and debugging skills * Comfortable working independently and in cross-functional teams Bonus

Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and debugging skills * Comfortable working independently and in cross-functional teams Bonus

Lifecycle Management • Conduct data profiling, requirement analysis, and performance tuning ... Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration. DataOps processes ...

New

Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy * Relentlessly iterate solutions within a fast-paced ...

The successful support is expected to be able to troubleshoot and analyze, as well as be a quick ... Experience with scripting languages such as Python and Linux shell * Aerospace experience ...

Data Science Tutor

Lexington, KY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

... analysis to solve complex business problems * Strong programming skills in Python and SQL, with experience developing scalable production-ready solutions * Experience designing and deploying systems ...

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Python Analytics information

See Lexington, KY salary details

$13

$58

$85

How much do python analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python analytics in Lexington, KY is $58.26, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $66.20 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What are popular job titles related to Python Analytics jobs in Lexington, KY? For Python Analytics jobs in Lexington, KY, the most frequently searched job titles are:
Image Data Scientist

Image Data Scientist

Space Tango LLC

Lexington, KY • On-site

Full-time

Posted 7 days ago


Job description

Description:

Space Tango is an innovative space technology small business based in Lexington, Ky. Space Tango's mission is to manufacture health and technology products in space that create value and transformational solutions. Space Tango provides space-based automated facilities and payloads to support research and development and small-scale manufacturing needs of our partners and customers in the Low Earth Orbit environment and beyond. As a leader in automated systems, Space Tango pursues pathways to on-orbit production. Our vision is to inspire, innovate, and create a better future for humanity by utilizing the environment of space.


The Image Data Scientist position serves as the company’s technical lead and subject matter expert for imaging systems used within its spaceflight payloads and facilities. This role develops, integrates, tests, and maintains software supporting Space Tango's spaceflight payloads, while leading the continual advancement of imaging hardware, software, and analysis capabilities. Working across software, electrical, mechanical, science, and operations teams, the Image Data Scientist supports both new mission development and existing flight systems, developing image acquisition, processing, path optimization, and post-processing solutions that enable autonomous operations and scientific investigations in microgravity.


Travel may be required to support launches, customer activities, partner integrations, and mission operations. Because Space Tango's business centers around spaceflight missions, candidates should be comfortable supporting non-standard work schedules, including occasional evenings, weekends, holidays, and other non-nominal hours when required for launch campaigns, testing, or on-orbit operations.


Key Responsibilities

  • Design, develop, integrate, test, maintain, and enhance software supporting Space Tango payloads and facilities, including image acquisition, processing, visualization, and analysis capabilities.
  • Develop new software features while maintaining and improving existing software platforms used across multiple spaceflight missions.
  • Develop and enhance automated image-analysis and post-processing pipelines that generate reliable, reproducible scientific results.
  • Collaborate with external customers and internal scientists to translate scientific objectives into automated imaging and analysis workflows.
  • Optimize image-processing algorithms for biological experiments conducted in microgravity.
  • Develop computer vision techniques for feature detection, segmentation, tracking, quantification, and quality assessment.
  • Support real-time and post-flight image processing for customer investigations.
  • Support software integration, verification, testing, troubleshooting, and flight operations throughout the project lifecycle.
  • Collaborate with science, software, mechanical, electrical, and mission operations teams to ensure imaging systems meet scientific objectives.
  • Develop validation methods and quality metrics for imaging pipelines.
  • Support payload integration, testing, flight operations, and customer data reviews.
  • Evaluate emerging imaging technologies, AI methods, computer vision, and image-analysis techniques applicable to future missions.
  • Serve as the company’s technical owner for bioimaging software, analysis methods, and imaging workflows by establishing best practices and driving continual improvement across the organization.
Requirements:

Qualifications, Skills, and Experience


Required:

  • BS or MS in Computer Science, Computer Engineering, Biomedical Engineering, Bioinformatics, Physics, Applied Mathematics, or related discipline
  • 5+ years developing scientific software or image-analysis applications
  • Strong Python experience
  • Experience developing scientific software, image-analysis applications, or data-processing pipelines.
  • Experience with scientific imaging, computer vision, microscopy, or related image-processing applications.
  • ImageJ, Cellpose, StarDist, SAM, PyTorch, Bio-Formats
  • Willingness to support non-nominal hours, including evenings, weekends, and holidays, as required for launches, testing, and mission operations.

Preferred:

  • Experience with spaceflight payloads, aerospace systems, robotics, lab automation, or embedded systems.
  • Deep learning for image segmentation/classification
  • Experience with Git and familiarity with Python development workflows, Docker, or CI/CD workflows.
  • Experience supporting biological or biomedical research.
  • Experience collaborating with multidisciplinary engineering and scientific teams.
  • Familiarity with NASA mission operations, quality systems, or regulated technical environments.

Interpersonal Skills

  • Strong attention to detail.
  • Calm, disciplined execution during time-sensitive operations.
  • Ability to collaborate across software, hardware, science, operations, and project management teams.
  • Ability to manage multiple priorities while maintaining high attention to detail.
  • Excellent written and verbal communication skills.
  • Willingness to learn new systems, tools, and procedures quickly.
  • Commitment to team success and mission reliability.

Space Tango is an Equal Opportunity Employer; employment with Space Tango is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.


This position may require access to technology and information subject to U.S. export control laws, including the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR). Employment is contingent upon the ability to obtain any necessary government authorizations to access and handle controlled technology and data. Candidates must be able to comply with all applicable export control regulations.