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Python Data Analysis Jobs in Lexington, KY (NOW HIRING)

Galls

AI Commerce Pricing Strategist

Lexington, KY · On-site

Experience with pricing analytics, SQL, Python, or business intelligence platforms such as Tableau, Looker, or Power BI. * Familiarity with product feeds, structured data, ecommerce platforms, and AI ...

Galls

AI Commerce Pricing Strategist

Lexington, KY · On-site

Experience with pricing analytics, SQL, Python, or business intelligence platforms such as Tableau, Looker, or Power BI. * Familiarity with product feeds, structured data, ecommerce platforms, and AI ...

Cisco

Software Engineer, Backend

Frankfort, KY · On-site

$155K - $222K/yr

... monitoring, analytics, and data lakes across Cisco. We'rea small, expert team that owns this ... Programming experience in Rust, Scala, Python. * Experience with observability tooling such ...

NV5

Lidar Technical Specialist

Lexington, KY · On-site

This individual provides oversight to technicians and other analysts in support of the team ... This position will work individually and as part of a team to support Incoming Lidar data ...

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All JobsPython Data Analysis JobsPython Data Analysis Jobs in Lexington, KY

Python Data Analysis information

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$13

$58

$85

How much do python data analysis jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python data analysis 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 is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Lexington, KY? The most popular types of Python Data Analysis jobs in Lexington, KY are:
What are popular job titles related to Python Data Analysis jobs in Lexington, KY? For Python Data Analysis jobs in Lexington, KY, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Lexington, KY look for? The top searched job categories for Python Data Analysis jobs in Lexington, KY are:
What cities near Lexington, KY are hiring for Python Data Analysis jobs? Cities near Lexington, KY with the most Python Data Analysis job openings:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Lexington, KY as of August 2026, with employment types broken down into 36% Full Time, and 64% Contract. Highlights an 25% In-person, and 75% Remote job distribution, with an average salary of $121,190 per year, or $58.3 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Lexington, KY • Remote

$90 - $120/hr

Part-time

Posted 10 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply