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Freelance Python Data Analysis Jobs in Portland, OR

nLIGHT

Temporary Data Scientist

Vancouver, WA

$40/hr

Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools. * Knowledge of semiconductor, laser, or other advanced ...

nLIGHT

Temporary Data Scientist

Vancouver, WA

Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools. * Knowledge of semiconductor, laser, or other advanced ...

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$99K - $232K/yr

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

Pwc

GenAI Python Systems Engineer-Manager

Portland, OR · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Milliman

Data Engineer (MedInsight)

Portland, OR · On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency. * Design Data Models: Develop and maintain data marts ...

Trimble

Machine Learning Data Scientist

Lake Oswego, OR · On-site

$122K - $165K/yr

... Python, SQL, Predictive Analytics, SketchUp, ETL, XGBoost, Data Modeling Compensation: Trimble provides the following compensation range and general description of other compensation and benefits ...

Nvidia

Senior Architect, Data Center Modeling

Hillsboro, OR

$73.25 - $98/hr

Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills ... Expertise in data analysis and visualization, especially pandas and associated technologies * A ...

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Freelance Python Data Analysis information

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

As of Jun 15, 2026, the average hourly pay for freelance python data analysis in Portland, OR is $62.17, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $70.62 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, 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 Portland, OR? The most popular types of Python Data Analysis jobs in Portland, OR are:
What are popular job titles related to Freelance Python Data Analysis jobs in Portland, OR? For Freelance Python Data Analysis jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Portland, OR look for? The top searched job categories for Freelance Python Data Analysis jobs in Portland, OR are:
Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Portland, OR as of June 2026, with employment types broken down into 37% Full Time, 57% Part Time, 2% Temporary, and 4% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $129,310 per year, or $62.2 per hour.
Temporary Data Scientist

Temporary Data Scientist

nLIGHT

Vancouver, WA

$40/hr

Full-time, Temporary

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Who We Are
 
At nLIGHT, we are constantly on the cutting-edge of laser technology in a massively growing market. We are a leading provider of high-power semiconductors and fiber lasers for industrial, microfabrication, and aerospace & defense applications, to name a few. Our lasers are changing not only the way things are made, but also changing the things that can be made.
 
Headquartered in Camas, Washington, nLIGHT is a publicly listed company (NASDAQ: LASR).
We are seeking a Temporary Data Scientist for a 9-month assignment to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from multiple systems to identify trends, improve process understanding, and help predict manufacturing performance. The ideal candidate brings strong technical data skills, experience working with complex datasets, and the ability to communicate insights clearly to cross-functional stakeholders.  
 

This position is anticipated to last approximately 9 months.

Responsibilities 
    • Collect, clean, and structure data from multiple sources, including databases, APIs, and spreadsheets, to support meaningful analysis.
    • Develop, test, and apply statistical models, analytical methods, and machine learning techniques to solve business and manufacturing challenges. 
    • Create reports, dashboards, and visualizations that translate technical findings into clear insights for non-technical audiences. 
    • Partner with cross-functional teams, including Operations and Planning, to identify opportunities for improved performance and decision-making.
    • Present findings and recommendations to internal stakeholders in a clear, concise, and actionable manner. 
Requirements   
    • Strong SQL and relational database skills, including experience writing complex queries and working with Microsoft SQL Server and/or Azure SQL.
    •  Experience integrating and transforming data from multiple sources, including on-premises and cloud-based systems. 
    • Strong background in statistics, data analysis, and correlation methods, with proficiency in Python, R, or similar analytical tools. 
    • Knowledge of semiconductor, laser, or other advanced manufacturing processes is preferred. 
    • Demonstrated ability to work independently, manage complex data challenges, and communicate findings effectively to a range of audiences.
    • Advanced Excel skills are required; experience with Power BI is preferred. 
    • Experience working with complex enterprise data environments and large datasets. 
    • 3+ years of hands-on data analysis experience in a high-tech manufacturing, semiconductor, or similar environment is preferred. 
    • Master’s degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. 
    • Lean, Six Sigma Green Belt, or Black Belt certification is a plus. 
nLIGHT is proud to offer comprehensive COMPENSATION AND BENEFITS: 
This is a fixed‑term (approximately 9 months), exempt role with a competitive salary and full benefits.
Data Scientist pay range:  $ annually
Other compensation and benefits
  • Target Cash Bonus of 6% of earned wages
  • Eligible for Restricted Stock Unit grants
  • 4 weeks of Paid Time Off per year 
  • 10 paid Holidays 
  • Eligible for health benefits on the 1st day of the month after your start date 
  • Medical, Dental and Vision Benefits, including prescription and orthodontia with employee-paid premiums as low as $40.00 per pay period 
  • Flexible Spending and Health Savings Accounts  
  • Employee Stock Purchase Plan  
  • 401(k) with company match and immediate vesting  
  • Company paid Short-Term and Long-Term Disability, and Life & AD&D Insurance 
  • Employee Assistance Program 
  • Aflac Supplemental Insurance 
  • Paid Bereavement Leave and Jury Duty 
  • Tuition Assistance Program 
  • Pet Insurance

nLIGHT is subject to US Export Control regulations. To qualify for this position, you must be a US Person (that is, a US citizen, lawful permanent resident, or protected individual granted asylum or refugee status).

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or age. For more information about our commitment to equal employment opportunity, please see this government poster: Know Your Rights: Workplace Discrimination is Illegal. If you are an individual with a disability and need a reasonable accommodation in the application or hiring process, please contact Human Resources at (360) 566-4460 or HR@nlight.net.
E-Verify Participation: 
nLIGHT participates in the E-Verify program. This employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. 
  
For more information, please review the following notices: 
  •  E-Verify Participation Poster  
  •  Right to Work Poster  

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