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Entry Level Python Data Science Jobs in Portland, OR

... languages such as Python and C++ to build robust data models - Managing data pipelines and ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

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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 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.
Data Scientist/Engineer - Junior (Remote)

Data Scientist/Engineer - Junior (Remote)

SynergisticIT

Portland, OR โ€ข On-site, Remote

Full-time

Posted 20 days ago


Job description

โ€œGhosted by companies and/or No/Failing Interviews? Lost in the Applicant Pile? Start getting offersโ€ - Get Hired with a Process which Works !

Many job seekers assume the tech market has shut down, but the truth is companies are still hiring โ€” theyโ€™re just being more selective. Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employerโ€‘ready candidates get through.

Getting hired in tech isnโ€™t just about knowing how to code โ€” itโ€™s about proving you can deliver value from day one. If youโ€™re getting interviews but not offers, youโ€™re closer than you thinkโ€”yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.

The result is painful: โ€œalmost hiredโ€ over and over again, while the confidence drops. The truth is that interviewing is its own skill, and Colleges donโ€™t teach it. They teach how to codeโ€”but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.

Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you donโ€™t know what the interview is truly measuring. Interviews rarely test โ€œcan you write code at home.โ€ They test: Can you solve problems under constraints and time pressure?

Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices?

Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.

If your pattern is โ€œI reach interviews but donโ€™t clear them,โ€ you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You donโ€™t need to be perfectโ€”you need to show you can think, collaborate, and deliver. Thatโ€™s why guided mock interviews and structured interview coaching can be a game-changer.

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in โ€œscreen round limboโ€ Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who havenโ€™t interviewed in years and feel rusty Career changers who fear โ€œIโ€™m behind CS gradsโ€ (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If youโ€™re tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ Because getting hired isnโ€™t about trying harderโ€”itโ€™s about preparing smarter, practicing correctly, and having the right guidance.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.