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Entry Level Python Data Science Jobs in Portland, OR

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Entry Level Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Python/Java developers * Data analysts/data scientists * Machine learning engineers Who Should ... or entry-level positions. Hands-on project work at client sites and additional skills are key to ...

Entry Level Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Python/Java developers * Data analysts/data scientists * Machine learning engineers Who Should ... or entry-level positions. Hands-on project work at client sites and additional skills are key to ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Python Tutor

Portland, OR · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

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Entry Level Python Data Science information

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

As of Jun 10, 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 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 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, and why are they important?

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 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 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 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 June 2026, with employment types broken down into 85% Full Time, 7% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $129,310 per year, or $62.2 per hour.

$119K - $143K/yr

Contractor

Posted 10 hours ago


Job description

Job Description
We are looking for a motivated and experienced ML/Software/BigData engineer to join our Advanced Analytics & Machine Learning team. This is a unique opportunity to enhance & upgrade our next generation Data Science Platform that supports a dynamic team of data scientists, data engineers, and data analysts, all working on Demand Sensing related projects.
Qualifications
  • Ability to write robust, maintainable, and extendable code in Python
  • 2 years of BigData/Hadoop experience preferably with Spark
  • 2 year of experience with AWS
  • Experience building Machine Learning/Data Science applications