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Data Scientist Analyst Jobs in Oregon (NOW HIRING)

Columbia

Principal Data Scientist

Portland, OR · On-site

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the delivery of innovative analytical solutions to help answer the organization's pressing challenges and ...

YipitData

Data Scientist, Corporate

OR · On-site +1

YipitData is the leading market research and analytics firm for the disruptive economy and most ... We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to ...

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

YipitData is the leading market research and analytics firm for the disruptive economy and most ... We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to ...

Five9

Vice President, Data Science

OR · On-site +1

Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ... causal inference, and performance measurement. * Demonstrated success turning data insights into ...

SOSi

Senior Data Scientist

OR · On-site +1

The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

SOSi

Senior Data Scientist

OR · On-site

The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

ICI Services

... Data Scientist to Join our Team in a Remote capacity. At ICI Services, our employee-owners drive ... Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ...

Netflix

Data Scientist 6 - Experimentation Platform

OR · On-site +1

... analysis-unit mismatches. Experience translating ambiguous data science pain points into a sequenced product roadmap, including judgment on what a platform should build in, expose as a self-serve ...

Fuze Health

Applied Scientist - FuzeRx

OR · On-site +1

To achieve our vision, we are expanding our Data Science & Analytics team to further transform the pharmacy experience for patients and providers. Our Data Science team partners closely with Product ...

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All JobsData Scientist Analyst JobsData Scientist Analyst Jobs in Oregon

Data Scientist Analyst information

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How much do data scientist analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data scientist analyst in Oregon is $43.46, according to ZipRecruiter salary data. Most workers in this role earn between $35.96 and $52.75 per hour, depending on experience, location, and employer.

What is a data scientist analyst?

A Data Scientist Analyst is responsible for collecting, processing, and analyzing large datasets to extract meaningful insights that drive business decisions. They use statistical methods, machine learning, and data visualization tools to identify trends, patterns, and correlations. This role typically requires proficiency in programming languages like Python or R, as well as experience with databases and data manipulation tools. Data Scientist Analysts work closely with business stakeholders to translate data findings into actionable recommendations.

What are the key skills and qualifications needed to thrive as a data scientist analyst?

To thrive as a Data Scientist Analyst, you need strong analytical skills, knowledge of statistics and machine learning, proficiency in programming languages like Python or R, and typically at least a bachelor's degree in a related field. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and relevant certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are commonly expected. Effective problem-solving, communication, and collaboration abilities are key soft skills for success in this role. These skills ensure that data-driven insights can be efficiently derived, interpreted, and communicated to support informed business decisions.

What are the typical career growth opportunities for a data scientist analyst?

As a Data Scientist Analyst, you can advance into roles such as Senior Data Scientist, Machine Learning Engineer, or Data Science Manager with experience and demonstrated expertise. Many organizations support professional development through mentorship programs, advanced training, or opportunities to lead key projects. Over time, building a robust portfolio of impactful analyses and data-driven recommendations can help propel your career forward. Collaboration across technical and business teams is common, providing a broad understanding of how data informs strategic decisions and opening pathways to leadership or more specialized analytics roles.

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Data Scientist Analyst jobs near you
Infographic showing various Data Scientist Analyst job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $90,401 per year, or $43.5 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR

Full-time

Re-posted 28 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.

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