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Entry Level Python Data Science Jobs in Portland, OR

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Python, Scala), and other Microsoft Azure or open-source tools as required, with support of ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Python, Scala), and other Microsoft Azure or open-source tools as required, with support of ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

... Python, Scala), and other Microsoft Azure or open-source tools as required, with support of ... Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent ...

Cisco

Applied AI Scientist

Portland, OR

Collaborate with engineering, product, and data science teams to understand requirements ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

New

Cisco

Applied AI Scientist

Hillsboro, OR · On-site

Collaborate with engineering, product, and data science teams to understand requirements ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

New

Honor

Staff Data Scientist

Portland, OR · Remote

... Python in a production environment. * You possess a strong foundation in traditional predictive ... Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional ...

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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 Jul 11, 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:
Entry Level Python Data Science jobs near you
Financial Data Engineer

Financial Data Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Overview
As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.
The impact you'll have at Concora Credit:
As a Financial Data Engineer, your primary role will be to build and optimize foundational data marts and reporting packages, become an expert on how Finance utilizes data, and find areas to improve business processes that support reporting and analysis across the Finance Department. You will also partner with non-data users to deliver solutions by understanding the underlying data and its usage.
With the support of subject matter experts and other senior engineers, this role will combine the technical skills of data engineering with internal business knowledge to build end-to-end data pipeline architecture, data flows, data transformations, and clear documentation.
This position offers growth opportunities with a heightened level of independence for someone passionate about understanding how data is used, creating optimized processes, and testing and improving data pipelines.
We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.
Responsibilities
As our Financial Data Engineer, you will:
  • Create and manage large, complex data sets that meet business requirements and serve as the foundation behind analytics and management reporting, informing critical decision-making across the Finance Department.
  • Partner with non-data users to deliver solutions by becoming an expert on our financial data.
  • Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source tools as required, with support of Engineers and Sr. Engineers.
  • Maintain high-quality documentation about data structures in the shared data governance tool for the business to access.
  • Become an expert on the complete data cycle for finance from ingestion to reporting.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.
  • Assist in the creation and development of reports or dashboards by building scalable, high-quality data sets.

These duties must be performed with or without reasonable accommodation.
We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.
Qualifications
Requirements:
  • Bachelor's Degree in Computer Science, Mathematics, Engineering, or similar field OR Equivalent professional experience.
  • Experience with the following tools: SQL or relational databases, Python, data pipeline management such as SSIS, Azure Data Factory, or Apache Spark for batch and streaming.
  • Experience building and optimizing data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Quick learner with intellectual curiosity to understand a dynamic and complex business.
  • Strong attention to detail and ability to self-review work products are critical.
  • Excellent written and verbal communication skills, including the ability to communicate with senior executives.
  • Able to handle and prioritize multiple tasks simultaneously and deliver results in a timely manner.

Preferred Qualifications:
  • Experience with Financial Services companies is preferred but not required.
  • 2+ years of experience in a Data Engineer role.

What's In It For You:
  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Employment-based visa sponsorship is not available for this role.
Concora Credit is an equal opportunity employer (EEO).
Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

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