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

Futran Tech Solutions Pvt. Ltd.

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining ... Python and Spark that meet all functional & non-functional requirements • Develop efficient ...

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

$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

$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 ...

Moda Health

Data Engineer I, II

Portland, OR · On-site

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ... Familiarity with programming or scripting languages such as Python, R, or Java is a plus.

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All JobsIntern Python Data Science JobsIntern Python Data Science Jobs in Portland, OR

Intern Python Data Science information

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How much do intern python data science jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for intern python data science in Portland, OR is $23.87, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $26.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Python Data Science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of Python intern?

The salary of a Python intern typically ranges from $15 to $25 per hour, depending on the location, company, and level of experience. Interns often receive stipends or hourly wages and may also gain valuable skills in Python programming, data analysis, and tools like Jupyter Notebook or Pandas during their internship.

Is 30 dollars an hour good for an internship?

For an intern in Python Data Science, earning $30 an hour is above average, as many internships pay between $15 and $25 per hour. This rate reflects the specialized skills in programming, data analysis, and tools like Python and Jupyter notebooks, and may indicate a more competitive or advanced internship position.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

What is the difference between Intern Python Data Science vs Intern Data Analyst?

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; 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 or SQL, regardless of age.
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 Intern Python Data Science jobs in Portland, OR? For Intern Python Data Science jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Intern Python Data Science jobs in Portland, OR look for? The top searched job categories for Intern Python Data Science jobs in Portland, OR are:
Intern Python Data Science jobs near you

Data engineer

Futran Tech Solutions Pvt. Ltd.

Beaverton, OR • On-site

$120K - $144K/yr

Full-time

Re-posted 20 days ago

Job description

Data Engineer
Primary Responsibilities
• Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data, cloud environment
• Support data aggregation jobs in a production environment as well as tune and optimize existing code base for multiple data products
• Process structured and unstructured data, validate data quality, and help design data quality tests in a big data environment
• Facilitate end to end solution design reviews with other members of the team that include communicating design, requirements, feature sets, functionality and limitations of systems/applications
• Build data movement pipelines leveraging SQL, Python and Spark that meet all functional & non-functional requirements
• Develop efficient feature capabilities to support proper data extraction & curation for analytical purposes
• Develop self-service analytics to enable users to better understand and assess impacts of key business drivers on financial results.
Minimum Qualifications
• 5+ years working as data engineer / database developer (Hadoop, cloud experience preferred)
• 5+ years of experience in data warehousing / big data environment, preferably in wireless industry and/or finance function
• Experience building & optimizing data pipelines on cloud solutions such as AWS & Azure
• Extensive experience in Spark, Python, PySpark, Scala, SQL/Hive
• Familiar with Spark MLlib, SParkSQL
• Writing complex SQL statements and performing data discovery
• Proven experience with data modeling, complex data structures, data processing, data quality, and data lifecycle
• Experience in API design, SDK architecture, and mobile software lifecycle development practices
• Strong organizational and time management skills, ability to prioritize a large group of diverse projects simultaneously, and deliver on multiple threads of work
• Experience working in agile environments on multiple projects simultaneously
• Excellent written and verbal communication skills
• Bachelor's degree in computer science or related technical field

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