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Entry Level Python Data Science Jobs in Portland, OR

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing

Print Supplies Big Data Analyst Description - Job Summary We are seeking a highly analytical, business-oriented Data Analyst to support the Print Supplies business. This position sits at the

AI Engineer

Portland, OR · On-site

$55K - $187K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Senior Associate Job Description & Summary The Opportunity As an AI Engineer, you will be at the forefront

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No

Showing results 41-60

Entry Level Python Data Science information

See Portland, OR salary details

$14

$62

$91

How much do entry level python data science jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for entry level 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 is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Portland, OR?

For Entry Level Python Data Science jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in Portland, OR look for?

The top searched job categories for Entry Level Python Data Science jobs in Portland, OR are:

Infographic showing various Entry Level Python Data Science job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $129,310 per year, or $62.2 per hour.

Sales Data Analyst Intern

Hillsboro, OR • On-site

Qorvo, Inc.
Manufacturing • 5 - 10K employees

$31 - $42/hr

Full-time, Internship

Posted 11 days ago


Key responsibilities

  • Monitor and enhance data quality and integrity across business systems and datasets.

  • Assist with data analysis, validation, and process improvement initiatives.

  • Support the development and evaluation of AI capabilities within Databricks, including chatbot and generative AI solutions.


Qorvo rating

8.3

Company rating: 8.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.

Qorvo's Internship Program is designed for college students currently enrolled in an accredited Bachelor's, Master's, or PhD program. Qorvo offers real work experience, exposure to upper management, and the opportunity to pursue full-time opportunities, as available. 

Qorvo's Internship Program offers:

  • Challenging, skill-building assignments
  • Mentoring and coaching from industry experts
  • Launch & Learns and other learning opportunities
  • Collaborative team-based work environment
  • Networking and social events
  • Final presentation to business leaders

Summary

We are seeking a motivated Summer Intern to support data, analytics, and AI initiatives within the Sales organization. The intern will work with a variety of business and technical teams to improve data quality, support analytics solutions, and explore AI capabilities using platforms such as Databricks. This role offers hands-on experience working with enterprise data, business processes, reporting, and emerging AI technologies while contributing to projects that support business decision-making.

 

Responsibilities may include:

  • Monitor and enhance data quality and integrity across business systems and datasets.
  • Assist with data analysis, validation, and process improvement initiatives.
  • Collaborate with business users and technical teams to identify opportunities to improve data accuracy and efficiency.
  • Support the development and evaluation of AI capabilities within Databricks, including chatbot and generative AI solutions.
  • Assist with reporting, data modeling, and analytics projects that support business operations.
  • Document processes, findings, and recommendations to support ongoing improvements.

 

Qualifications

  • Currently enrolled in a Bachelor's or Master's degree program in Data Analytics, Data Science, Computer Science, Engineering, Information Systems, Business Analytics, or a related field.
  • Familiarity with SQL, Python, or data analysis tools is preferred.
  • Experience using business intelligence tools such as Power BI or Tableau is preferred.
  • Experience cleaning data, data transformation or validation is preferred
  • Experience with cloud-based analytics platforms such as Databricks, Snowflake, Azure or AWS is preferred.
  • Strong analytical and problem-solving skills.
  • Attention to detail and commitment to data accuracy.
  • Strong communication and organizational skills.
  • Ability to work independently and collaboratively in a team environment.

This position is not eligible for visa sponsorship by the Company.

Competitive hourly pay commensurate with experience: $31/hr - $42/hr (subject to change dependent on physical location) 

Posted salary ranges are made in good faith. Qorvo reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as external competitiveness and internal comparability. 

Base compensation is one element of Total Rewards offered at Qorvo. More information on the Total Rewards package can be shared upon request. 

  MAKE A DIFFERENCE AT QORVO   

 We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.

We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability. 


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