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Machine Learning Jobs in Camas, WA (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Portland, OR · On-site

$108K - $143K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

Hitachi

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

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration * Develop, train, and deploy ML models for Time-series ...

Verstela

Swing Shift Machine Operator

Portland, OR

$22/hr

This is a great opportunity for an experienced machine operator who enjoys hands-on work, precision, and learning new technology. Why You'll Love This Opportunity: * Grow Your Technical Skills: Gain ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Pwc

AI & GenAI Data Scientist-Director

Portland, OR · On-site

$155K - $410K/yr

Responsibilities - Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights - Overseeing the implementation of data infrastructure and ...

Verstela

Machine Operator | Temporary

Tualatin, OR

$20/hr

This Machine Operator role could be a great fit for you. This established manufacturing company ... learning new skills. This is a full-time, 3 month temporary opportunity for someone looking for ...

Columbia

Principal Data Scientist

Portland, OR

Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business * Collaborate with other members ...

Epiq

Advanced Technologies Consultant

Beaverton, OR

$110K - $135K/yr

Position Summary Epiq's Advanced Technologies Consultants support clients' document review needs using advanced analytics, including machine learning and generative AI. Working closely with the ...

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Showing results 41-60

All JobsMachine Learning JobsMachine Learning Jobs in Camas, WA

Machine Learning information

See Camas, WA salary details

$28.9K

$48.3K

$99.9K

How much do machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning in Camas, WA is $48,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,900.00 and $52,200.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What cities near Camas, WA are hiring for Machine Learning jobs?

Cities near Camas, WA with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Camas, WA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $48,339 per year, or $23.2 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics, LLC

Portland, OR • On-site

$100 - $140/hr

Other

Re-posted 10 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
Qualifications
  • 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)

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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