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Python Data Science Jobs in Portland, OR (NOW HIRING)

nLIGHT

Temporary Data Scientist

Vancouver, WA · On-site

$45 - $58/hr

Strong background in statistics, data analysis, and correlation methods, with proficiency in Python ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

nLIGHT

Temporary Data Scientist

Vancouver, WA

$40/hr

Strong background in statistics, data analysis, and correlation methods, with proficiency in Python ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

nLIGHT

Temporary Data Scientist

Vancouver, WA

Strong background in statistics, data analysis, and correlation methods, with proficiency in Python ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

nLIGHT

Temporary Data Scientist

Vancouver, WA

$45 - $58/hr

Strong background in statistics, data analysis, and correlation methods, withproficiencyin Python ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred.

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Five (5) years of experience in Data Science / Machine Learning * Strong programming skills in Python * Proven experience with: * Time-series analysis and anomaly detection * Statistical modeling and ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

... Python, Scala), and other Microsoft Azure or open-source tools as required, with support of ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Python, Scala), and other Microsoft Azure or open-source tools as required, with support of ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Python, Scala), and other Microsoft Azure or open-source tools as required, with support of ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Python, Scala), and other Microsoft Azure or open-source tools as required, with support of ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

SynergisticIT

Python Developer(Junior Level)

Clackamas, OR · On-site

$52.75 - $72.75/hr

Bachelor's degree or Master's degree in Computer Science, Electrical Engineering, Computer ... Data visualization * Scala * NLP * Django Roles and Responsibilities As an entry-level Python ...

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All JobsPython Data Science JobsPython Data Science Jobs in Portland, OR

Python Data Science information

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How much do python data science jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for python data science 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 are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a data scientist do with Python?

A data scientist uses Python to analyze and interpret large datasets, develop machine learning models, and create data visualizations. They utilize libraries like pandas, scikit-learn, and matplotlib to extract insights and support data-driven decision-making.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

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

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to command higher salaries.
What are the most commonly searched types of Python Data Science jobs in Portland, OR? The most popular types of Python Data Science jobs in Portland, OR are:
What are popular job titles related to Python Data Science jobs in Portland, OR? For Python Data Science jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Portland, OR look for? The top searched job categories for Python Data Science jobs in Portland, OR are:
Python Data Science jobs near you
Infographic showing various Python Data Science job openings in Portland, OR as of June 2026, with employment types broken down into 4% As Needed, 47% Full Time, 45% Part Time, 2% Contract, and 2% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% 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 • On-site

$45 - $58/hr

Temporary

Medical, Dental, Vision

Posted 15 days ago

Job description

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 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), non-exempt role with a competitive pay and benefits.
Data Scientist pay range: $45.00-$58.00 hourly
Other compensation and benefits
  • 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
  • Employee Assistance Program
  • Flexible Spending and Health Savings Accounts
  • 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 [email protected].
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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