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Entry Data Scientist Jobs in Oregon (NOW HIRING)

Utilize advanced pricing optimization architecture (e.g., PROS) along with data-science models to ... Drive the team away from manual data entry by engineering automated Excel templates, Google Sheets ...

Utilize advanced pricing optimization architecture (e.g., PROS) along with data-science models to ... Drive the team away from manual data entry by engineering automated Excel templates, Google Sheets ...

Data Center Technician

Boardman, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... Science, Network Engineering) - certification in a relevant field (CCENT - Cisco Certified Entry ...

Fraud Patterns Analyst

OR · On-site +1

Each day, bad actors disrupt the trust and safety of the internet and increase the barrier of entry ... Experience working closely with modeling, data science, and intelligence stakeholders to implement ...

Showing results 21-40

Entry Data Scientist information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do entry data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry data scientist in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What is an entry data scientist?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

Can you get an entry data scientist job with no experience?

Entry data scientist roles typically require some background in programming, statistics, or related fields, but candidates with no formal experience can improve their chances by completing relevant coursework, projects, or certifications in tools like Python, R, or SQL. Building a portfolio of data analysis projects and gaining familiarity with common data science environments can also help demonstrate skills to employers.

What are the key skills and qualifications needed to thrive as an entry data scientist, and why are they important?

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

What is the difference between Entry Data Scientist vs Data Analyst?

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

What types of projects and responsibilities can an entry data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

How to become an entry data scientist without experience?

To become an entry-level data scientist without experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers.

What cities in Oregon are hiring for Entry Data Scientist jobs?

Cities in Oregon with the most Entry Data Scientist job openings:

Infographic showing various Entry Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Full-time

Re-posted 14 days ago


Job description

Job Description:

POSITION SUMMARY:

The Lead Pricing Analyst acts as a senior strategic anchor and subject matter expert (SME) within the Pricing department. Operating dynamically within our Cross-Functional Category structure, this role partners closely with Product Strategy, Procurement, Inventory Planning, Quality, Pricing Operations, and Marketing teams to maximize company-wide profitability and market share.

Rather than merely executing tactical adjustments, the Lead Pricing Analyst is responsible for architecting and shepherding market-back, value-based pricing models, executing price compression strategies to influence customer trade-ups, and building dynamic pricing infrastructure, utilizing advanced pricing optimization software (PROS) tools. The Lead owns high-impact, enterprise-level initiatives-such as site-wide global pricing resets, price compression strategies, and elasticity testing-while managing margin/volume trade-offs, enforcing governance, and providing vital mentorship to junior analytical staff. The Lead Pricing Analyst will focus on the passenger and light truck tire product category.

PRIMARY RESPONSIBILITIES/FUNCTIONS

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions/primary responsibilities.

40% - Market-Back Modeling & Statistical Analysis:

  • Architect, manage, and continuously refine value-based, market-back retail pricing models across core and secondary supply portfolios.

  • Utilize advanced pricing optimization architecture (e.g., PROS) along with data-science models to evaluate price elasticity and simulate margin vs. volume impacts.

  • Work with historical and real-time datasets to uncover margin-enhancement opportunities and hidden revenue leaks.

  • Own competitive market mapping by establishing automated data scrapes and synthesizing third-party intelligence (e.g., GfK, market indexes) to react nimbly to compressed competitor steps without participating in a "race to the bottom."

  • Formulate highly accurate, multi-variable revenue and gross profit forecasts based on seasonal buying behavior, production/freight cost fluctuations, and promotional unit lifts.

  • Focus specifically on optimizing pricing models and margin analysis for the passenger and light truck tire product category.

25% - Cross-functional Leadership:

  • Cross-functional leadership and margin performance accountability.

  • Serve as the lead pricing authority within assigned agile categories (Tires, Parts, or Wheels).

  • Drive accountability down to the category level by collaborating weekly with Category Managers, Sourcing Managers, and Inventory Planners to synchronize retail pricing resets with inventory availability, supplier product lifecycles, and shifting market demand.

  • Partner with Marketing and Product Strategy teams to rigorously vet the financial feasibility, margin exposure risks, and systemic configuration needs of major promotions before executive escalation.

  • Synthesize highly complex analytical findings and predictive scenarios into concise, decision-ready visual reporting, dashboards, and single-page briefs for presentation to the C-suite and Steering Committees.

20% - Strategic Initiatives & Experimentation:

  • Market-back value-based pricing, price elasticity testing, and dynamic positioning.

  • Own the end-to-end design, execution, and statistical validation of site-wide pricing experiments, regional price elasticity tests, and promotional coupon structures.

  • Collaborate with Data Science resources to isolate pure pricing yield from market noise.

  • Proactively design exit plans and markdown strategy schedules for aging, overstocked, or discontinued warehouse inventory to clear network liability while minimizing gross profit erosion.

15% - Team Mentorship & Process Automation:

  • Provide guidance and mentorship to junior staff members.

  • Provide ongoing professional guidance, technical training, and strategy mentorship to entry-and mid-level Pricing Analysts and Specialists.

  • Drive the team away from manual data entry by engineering automated Excel templates, Google Sheets workflows, and scalable pricing SOPs.

  • Spearhead the transition of pricing maintenance from standard global methods to hyper-targeted, market-aligned pricing architectures across multiple system frameworks.

MINIMUM EDUCATION & SKILLS REQUIRED

Educational/Experience Requirements:

  • A Bachelor's or Master's degree in Business Administration, Finance, Mathematics, Statistics, Economics, Data Science, or a closely related quantitative field is highly advantageous.

  • 5-7+ years of progressive, corporate experience in pricing optimization, corporate revenue management, or advanced financial strategy is preferred.

  • A minimum of 2+ years operating successfully in a senior or lead analytical capacity is required.

  • Advanced proficiency in pricing optimization architecture (e.g., PROS) and Business Intelligence platforms (Tableau/ThoughtSpot).

  • Demonstrated experience or specific interest in managing pricing for the passenger and light truck product category.

Required Technical Skills/Knowledge:

  • Business Intelligence: Advanced hands-on experience building and maintaining data analytics structures within modern BI platforms, such as (e.g.,Tableau, or ThoughtSpot)

  • Pricing Software: Extensive experience configuring and maintaining enterprise-grade pricing optimization software systems (e.g., PROS, Vendavo, or Pricefx)

  • Technical Writing: Proven capability in drafting highly professional, concise business cases, project charters, issue discussion documents, and formal governance briefs for executive steering committees.

General Knowledge and Abilities:

  • Agile Project Management: Exceptional project management skills with a track record of leading large-scale cross-functional teams using best-practice methodologies.

  • Strategic Communication: Superior ability to distill highly technical data, margin risk variables, and multi-system integration logic into clear, professional concepts for non-technical stakeholders up to the C-suite.

  • Matrix Adaptability: Excellent organizational and time-management skills to thrive under pressure inside an ever-evolving, cross-functional matrix environment.

  • Humility & Teamwork: Ability to build high-trust relationships, collaborate with diverse teams, and maintain an unbiased, solution-driven approach during periods of rapid organizational change.

Physical Requirements:

Primarily desk position; regularly required to sit, occasionally required to stand and walk. Requires frequent and repetitive use of hands and fingers to operate the computer, mouse, keyboard, and office-related equipment, and the ability to reach with hands and arms. Position requires lifting no more than 10 pounds regularly. Specific vision abilities required by this job include close visual acuity and the ability to adjust focus. Requires the ability to communicate verbally and exchange information over the phone and in person. Long periods of data entry require the ability to focus in spite of environmental distractions.

Work Environment:

Office, non-manual work; the worker is not substantially exposed to adverse environmental conditions.

This job description is not all-inclusive and is subject to change. Additional duties, responsibilities, and tasks may be assigned, as necessary. Employment remains "AT WILL" at all times.