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Freelance Python Data Analysis Jobs in Lincoln, NE

Lazlo, Inc.

Electrical Engineer

Lincoln, NE · On-site

$80K - $95K/yr

... research and analyze data and specifications to evaluate the feasibility, design, operation ... COMSOL) experience is a plus Experience with Python for scientific computing and instrumentation ...

Judge Group, Inc.

Site Reliability Engineer

Lincoln, NE · On-site

$70 - $80/hr

Identify reliability gaps through process reengineering and analyze performance metrics ... Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy ...

penlink

AI Engineer

Lincoln, NE · On-site +1

It sounds like a lot of data and analytics, but really, it's about improving the world and keeping ... Strong programming skills, particularly in Python * Experience with machine learning and deep ...

Telesis, Inc

Electrical Engineer

Lincoln, NE · On-site

$80K - $95K/yr

... research and analyze data and specifications to evaluate the feasibility, design, operation ... COMSOL) experience is a plus • Experience with Python for scientific computing and ...

Cisco

Senior Software Engineer, Backend

Lincoln, NE · On-site +1

$165K - $241K/yr

... data-driven decisions. In this role you can expect to: * Design, build, ship, analyze ... Programming experience in Rust, Scala, Python. * Experience with observability tooling such ...

Teradata Corporation (SE)

Senior Staff AI Engineer

Lincoln, NE · On-site

$199.50 - $299.30/hr

That's why we build the most complete cloud analytics and data platform for AI. By delivering ... Strong proficiency in Java, Go, or Python , with experience building largescale services. * Deep ...

Posted today

Varsity Tutors

Machine Learning Tutor

Lincoln, NE · Remote

$18 - $40/hr

... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

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Freelance Python Data Analysis information

See Lincoln, NE salary details

$11

$51

$75

How much do freelance python data analysis jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for freelance python data analysis in Lincoln, NE is $51.04, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $57.98 per hour, depending on experience, location, and employer.

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?

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 freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

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.
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What cities near Lincoln, NE are hiring for Freelance Python Data Analysis jobs? Cities near Lincoln, NE with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Lincoln, NE as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,156 per year, or $51 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lincoln, NE • On-site

Other

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply