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Experienced Data Scientist Jobs in Oregon (NOW HIRING)

Data Scientist

OR ยท On-site +1

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure ...

Data Scientist

OR ยท On-site

Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure ...

Data Scientist

OR ยท On-site +1

$135K - $160K/yr

What You'll Do As a Data Scientist with Imagine Pediatrics, you will be part of a growing team and ... You will need: * 3+ years of experience, including proficiency in Python and SQL * Strong ...

New

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... We know experience comes in many forms and that many skills are transferable. If your experience is ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... We know experience comes in many forms and that many skills are transferable. If your experience is ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... We know experience comes in many forms and that many skills are transferable. If your experience is ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... We know experience comes in many forms and that many skills are transferable. If your experience is ...

To be determined based on skill level and experience. Essential Responsibilities: Data Science: * Collect, clean, and organize structured and unstructured data from various sources. * Perform ...

New

To be determined based on skill level and experience. Essential Responsibilities: Data Science: * Collect, clean, and organize structured and unstructured data from various sources. * Perform ...

New

To be determined based on skill level and experience. Essential Responsibilities: Data Science: * Collect, clean, and organize structured and unstructured data from various sources. * Perform ...

New

Data Scientist

OR ยท On-site +1

As a Data Scientist at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... The ideal candidate would have experience analyzing large and complex data sets related to web ...

Specialist, Data Scientist

Salem, OR ยท On-site

$125 - $140/hr

Required education and experience * Bachelor's degree in data science, Statistics, Mathematics, Computer Science, Engineering, Analytics, or related field, or equivalent practical experience. * 3+ ...

New

WHO WE ARE LOOKING FOR We are looking for an experienced Senior Data Scientist to join our Data Science & Advanced Analytics team, which sits within Nike's Supply Chain and Planning Technology (SCPT)

Lead Data Scientist

OR ยท On-site +1

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 - Search

OR ยท On-site +1

You will own the data science behind query understanding, content retrieval, ranking, and the end-to-end search experience - partnering closely with ML, Engineering, PM, and Design to turn intent ...

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Showing results 1-20

Experienced Data Scientist information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do experienced data scientist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for experienced 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 experienced data scientist?

Experienced data scientists are professionals who have a strong background in data analysis, statistical modeling, and machine learning, typically with several years of industry experience. They use advanced analytical techniques to extract insights from complex data sets, helping organizations make data-driven decisions. In addition to technical skills, they often possess domain expertise, strong problem-solving abilities, and experience in communicating their findings to both technical and non-technical stakeholders. Their work may involve designing experiments, building predictive models, and deploying machine learning solutions in production environments.

What are the key skills and qualifications needed to thrive as an experienced data scientist?

To thrive as an Experienced Data Scientist, you need advanced statistical analysis, machine learning expertise, strong programming skills (often in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL, and cloud platforms, as well as certifications in data science or analytics, are commonly expected. Outstanding problem-solving, communication skills, and business acumen help you translate complex data insights into actionable strategies. These skills are essential for delivering impactful solutions and driving data-informed decision-making within organizations.

What are some typical challenges an experienced data scientist faces when working on cross-functional teams?

Experienced data scientists often collaborate with cross-functional teams, such as product managers, engineers, and business analysts. A common challenge in this environment is effectively communicating complex analytical findings in a way that is actionable for non-technical stakeholders. Additionally, aligning data science objectives with broader business goals and navigating differing priorities can require strong negotiation and project management skills. Overcoming these challenges is key to ensuring that data-driven insights are not only understood but also implemented to drive impact.

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

AspectExperienced Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisBachelor's degree in Statistics, Mathematics, or related fields; certifications are optional
Work EnvironmentDevelops models, algorithms, and predictive analytics; works on complex data projectsPrepares reports, visualizations, and performs data cleaning and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and business intelligence

In summary, an Experienced Data Scientist typically handles advanced analytics, machine learning, and predictive modeling, requiring more technical skills and higher education. Data Analysts focus on data cleaning, reporting, and visualization, often with less emphasis on complex modeling. Both roles are essential but differ in scope and technical depth.

How much do experienced data scientists make?

Experienced data scientists typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or big data tools can command higher compensation, often exceeding $160,000 per year.

What are popular job titles related to Experienced Data Scientist jobs in Oregon?

For Experienced Data Scientist jobs in Oregon, the most frequently searched job titles are:

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

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

Senior Data Scientist - Forecasting

Portland, OR โ€ข On-site

Tiger Analytics Inc.
Business Management Consultingย โ€ขย 201 - 500 employees

Full-time

Re-posted 24 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.

You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities

  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Requirements

    • 10+ years of experience in applied data science or advanced analytics
    • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
    • Strong domain experience in CPG, FMCG, retail, or similar industries
    • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
    • Strong SQL skills for large-scale data processing
    • Proven experience deploying models in cloud environments (Azure preferred)

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.