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No Experience Data Science Jobs in Oregon (NOW HIRING)

Data Science Tutor

Eugene, OR · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Data Science Tutor

OR · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for ... Highly qualified and experienced trainers. Professional environment. Special interview training ...

... on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT ... experienced trainers. • Professional environment. • Special interview training • Training for ...

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse * Command of data ...

Data Scientist

OR · On-site +1

$75K - $140K/yr

Hands-on experience building data science solutions within a modern cloud data ecosystem including Snowflake, Azure, and Python-based tools. * Collaboration with cross-functional teams including ...

OR · On-site

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to ... You have experience that developed a variety of skills: whether thinking strategically about how to ...

Salary will be commensurate with qualifications and experience. The LSU AgCenter has an attractive ... February 25, 2025 Closing Date (Open Until Filled if No Date Specified): Additional Position ...

Salary will be commensurate with qualifications and experience. The LSU AgCenter has an attractive ... February 25, 2025 Closing Date (Open Until Filled if No Date Specified): Additional Position ...

Salary will be commensurate with qualifications and experience. The LSU AgCenter has an attractive ... February 25, 2025 Closing Date (Open Until Filled if No Date Specified): Additional Position ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data science, data ... analytics, applied machine learning, or related experience in a business setting; ability to ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data science, data ... analytics, applied machine learning, or related experience in a business setting; ability to ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data science, data ... analytics, applied machine learning, or related experience in a business setting; ability to ...

D in field mentioned above with 1-3 years of relevant experience * 2+ years in data science, data ... analytics, applied machine learning, or related experience in a business setting; ability to ...

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Showing results 1-20

No Experience Data Science information

What key skills and qualifications are needed to succeed in an entry-level data science role with no prior experience, and why are they important?

To thrive in an entry-level Data Science role, foundational knowledge of statistics, programming (often in Python or R), and data analysis is essential, usually supported by a relevant degree or completion of online courses. Familiarity with tools such as Jupyter Notebooks, SQL databases, and introductory machine learning libraries like scikit-learn is typically expected. Curiosity, problem-solving abilities, and effective communication help newcomers stand out by enabling them to learn quickly and explain insights clearly. These skills and qualities are crucial for accurately analyzing data, collaborating with teams, and delivering actionable results as you build your experience.

What is the difference between No Experience Data Science vs Data Analyst?

AspectNo Experience Data ScienceData Analyst
Required CredentialsEntry-level, often no certifications neededOften requires a degree in related field; certifications like Excel or SQL helpful
Work EnvironmentStartups, internships, or entry-level roles in tech or financeCorporate offices, consulting firms, or government agencies
Industry UsageGrowing in tech, finance, healthcare, and marketingWidely used across industries for data interpretation and reporting
Search & Comparison IntentPeople seeking entry-level data roles with minimal experienceIndividuals comparing entry-level data roles in analytics

While No Experience Data Science roles focus on entry-level positions with minimal prior skills, Data Analysts typically require some foundational knowledge and relevant certifications. Both roles are common in various industries, but Data Analysts often have more defined responsibilities in data interpretation and reporting. Understanding these differences helps job seekers target the right roles based on their experience level and career goals.

What entry-level tasks or projects can someone without experience expect in a data science role?

In an entry-level data science position, especially for those without prior experience, you can expect to start with foundational tasks such as data cleaning, exploratory data analysis, and assisting in data collection processes. You may also help maintain documentation, prepare data visualizations, and support more senior team members with basic statistical analysis or model evaluation. These responsibilities not only build your technical skills but also expose you to the real-world workflows and collaborative problem-solving typical of data science teams.

What is a no experience data science job?

'No Experience Data Science' jobs are entry-level positions in the field of data science that do not require prior professional experience. These roles are designed for recent graduates, career changers, or individuals looking to start a career in data science. They typically focus on foundational skills such as data cleaning, basic statistical analysis, and simple data visualization. Employers may provide training and mentorship to help new hires gain practical experience. Common job titles include Data Science Intern, Junior Data Analyst, or Data Science Trainee.
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to No Experience Data Science jobs in Oregon? For No Experience Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching No Experience Data Science jobs in Oregon look for? The top searched job categories for No Experience Data Science jobs in Oregon are:
What cities in Oregon are hiring for No Experience Data Science jobs? Cities in Oregon with the most No Experience Data Science job openings:
Infographic showing various No Experience Data Science job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Science Tutor

Varsity Tutors

Eugene, OR • Remote

$18 - $40/hr

Part-time

Re-posted 2 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data 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 Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • 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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