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Freelance Python Data Analysis Jobs in Kentucky (NOW HIRING)

Data Scientist

Lexington, KY ยท Hybrid

$75 - $100/hr

Must Have Data/Reporting Data Analysis 5 years R, Python, SQL, and Machine Language Algorithms and Data Analysis. 5 years Degree Level Bachelor's Degree Yes Experience Currently holds a Secret ...

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 ...

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Kentucky? The most popular types of Python Data Analysis jobs in Kentucky are:
What are popular job titles related to Freelance Python Data Analysis jobs in Kentucky? For Freelance Python Data Analysis jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Kentucky look for? The top searched job categories for Freelance Python Data Analysis jobs in Kentucky are:
What cities in Kentucky are hiring for Freelance Python Data Analysis jobs? Cities in Kentucky with the most Freelance Python Data Analysis job openings:

Data Scientist

Athari

Lexington, KY โ€ข Hybrid

$75 - $100/hr

Full-time

Posted 16 days ago


Job description

Description

Designs, develops, and implements methods, processes, and systems to consolidate and

analyze diverse data sets including structured and unstructured.

Develop software programs, algorithms, dashboards, information tools, and queries to

clean, model, integrate and evaluate datasets. Keeps abreast of new analytic

methodologies and technologies.

Collaborate with functional business units to drive business solutions and direction.

Key Responsibilities include but not limited to:

Design, implement, and maintain enterprise-scale search solutions using Apache Solr

Develop and optimize semantic search capabilities using vector embeddings and neural

search models

Build custom indexers and indexing pipelines that support vector embeddings alongside

traditional text fields

Implement and tune Approximate Nearest Neighbor (ANN) algorithms for efficient

similarity search at scale

Design and optimize similarity functions (cosine, dot product, Euclidean) for various

search use cases

Build hybrid search systems that combine traditional keyword-based search with vector-

based semantic search

Perform traditional relevancy engineering including query analysis, field weighting,

boosting strategies, and result tuning

Conduct relevancy analysis using quantitative metrics and qualitative evaluation methods

Monitor search performance metrics and implement continuous improvements

Work cross-functionally with product, engineering, and data teams to define search

requirements

Required Qualifications:

5+ years of hands-on experience with Apache Solr or Lucene in production environments

Strong expertise in traditional relevancy engineering including query parsing, field

boosting, function queries, and relevance tuning

Proven experience conducting relevancy analysis using both automated metrics and

manual evaluation techniques

Strong expertise in vector embeddings and their application to semantic search

Proven experience building hybrid search systems that combine keyword and vector-

based approaches

Knowledge of search relevance metrics (NDCG, MRR, precision/recall)

Excellent problem-solving and analytical skills

Strong communication skills and ability to work in collaborative environments

Nice to Have:

Databases and Data Engineering for Big Data

Elasticsearch

Statistical Methods

Clearance:

Candidates should have an active clearance (secret/top secret, etc.) in order to be

considered for this position due to the nature of the work being done. Do not submit

candidates if they do not meet this requirement.

Work Location:

This position has the ability to work hybrid, remote or onsite. Please list which the

candidate prefers in the write up.

Interview Process:

1st round interview will be a Zoom with the hiring manager. 2nd round interview will be

a Zoom with additional team members as needed.

Must Have

Data/Reporting

Data Analysis 5 years

R, Python, SQL, and Machine Language Algorithms and Data Analysis. 5 years

Degree Level

Bachelor's Degree Yes

Experience

Currently holds a Secret Clearance (OR a higher clearance) Yes

Quantitative relevancy analysis and tuning 5 years

Vector embeddings semantic search 5 years

Programming

C/C++, Java, Python, Bash, SQL, Java Script / HTML / CSS, Matlab 5 years

Software Tools

Apache Solr and creating data pipelines for search products 5 years

Nice to Have

Data/Reporting

Databases and Data Engineering for Big Data 0 years

Elasticsearch 0 years

Statistical Methods 0 years

Duration: 6 Months

Security Clearance Requirement: Yes

Security Clearance Level: Active Secret

Location: Lexington, MA 02421

Pay Range: $75-$100 an hour