ZipRecruiter

Log In

1

Data Science Engineer Jobs in Portland, OR (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR

$110K - $152K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

Impact Scale LLC

Data Scientist/Analyst

Vancouver, WA

$90K - $120K/yr

Bachelor's degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field required . Master's degree is a plus. * 3-5+ years ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ... Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

$45 - $58/hr

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred. * Lean, Six Sigma Green Belt, or Black Belt certification is a plus. nLIGHT is proud to offer ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ... Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ... Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ...

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing, maintaining, and enhancing data integration pipelines that support the Enterprise Data Warehouse ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

S. in statistics, mathematics, computer science, or other analytical field with 2-4 years of ... Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Five (5) years of experience in Data Science / Machine Learning * Strong programming skills in Python * Proven experience with: * Time-series analysis and anomaly detection * Statistical modeling and ...

previous pagenext page

Showing results 21-40

All JobsData Science Engineer JobsData Science Engineer Jobs in Portland, OR

Data Science Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data science engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.
What are popular job titles related to Data Science Engineer jobs in Portland, OR? For Data Science Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Portland, OR look for? The top searched job categories for Data Science Engineer jobs in Portland, OR are:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR • On-site

Full-time

Re-posted 7 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.