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Entry Level Python Data Science Jobs in Portland, OR

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... and Data Science tools and other emerging technologies; embrace and embody Nike's core values ... Python, SQL, C++) • LLM Models (Generative AI, RAG) • Data Governance Apply at www.Nike.com ...

Experience with data science and statistical analysis is a plus * Proficiencyin scripting languages used for data analytics (e.g.,Matlab/Python) is a plus * Knowledge of numerical techniques, Fourier ...

Applications Scientist 3

Hillsboro, OR · On-site

$96K - $145K/yr

Experience with data science and statistical analysis is a plus * Proficiency in scripting languages used for data analytics (e.g., Matlab/Python) is a plus * Knowledge of numerical techniques ...

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Master's degree in Engineering, Computer Science, Data Analytics, or a related field * 0-3 years of ... Proficiency in data analysis tools (e.g., Excel, SQL, Python, or similar) * Experience with data ...

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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 Jul 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 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:
High School Computer Science Tutor

High School Computer Science Tutor

Varsity Tutors

Portland, OR • Remote

$18 - $40/hr

Part-time

Posted 5 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online High School Computer Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a High School Computer Science Tutor
  • Advanced Subject Mastery: Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types, control structures, functions, arrays, basic algorithms, debugging, and introductory concepts in cybersecurity and data. Ability to explain algorithm efficiency, Boolean logic, and binary representation while preparing students for AP Computer Science courses, college computer science, and technology careers.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching programming logic, problem decomposition, and debugging strategies for high school students new to computer science. Guides students through writing programs with variables and loops, implementing simple algorithms, designing solutions to computational problems, and using development environments. Emphasizes building computational thinking skills and connects computer science to robotics, game design, and real-world technology applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with high school computer science standards including CSTA frameworks and common challenges such as abstract thinking about algorithms, debugging syntax and logic errors, and building persistence through coding challenges. Adapts instruction using visual programming tools, interactive coding platforms, and engaging projects to support students from introductory exploring computer science through pre-AP preparation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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