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Senior Data Analyst Machine Learning Jobs in Kent, WA

Weyerhaeuser

Senior Data Scientist

Seattle, WA · On-site

They are seeking a Senior Data Scientist to apply data science techniques to solve complex business ... machine learning, and data analysis. • Strong proficiency in programming environments and ...

Metropolis

Senior Data Analyst

Seattle, WA · On-site

$129K - $175K/yr

Who you are Metropolis is seeking a Senior Data Analyst who is highly motivated to contribute to the vision and development of our next generation of analytic data tools for internal and external ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

As a Senior Data Scientist, you will focus on continuously improving operations to enable strategy ... Machine Learning, Azure Databricks, Azure Cognitive Services) to deploy scalable models. Analytics ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

As a Senior Data Scientist, you will focus on continuously improving operations to enable strategy ... Machine Learning, Azure Databricks, Azure Cognitive Services) to deploy scalable models. Analytics ...

Weyerhauser Co

Senior Data Scientist

Seattle, WA · On-site

We are looking for a Senior Data Scientist passionate about applying machine learning, statistics ... modeling, applied machine learning, and data analysis. * Strong proficiency in programming ...

Visa

Sr. Data Scientist

Bellevue, WA · On-site

$123K/yr

Support machine learning and analytics initiatives across dispute decisioning, merchant matching, and recovery analysis * Assist in the development of ML lifecycle components, including data ...

Visa

Sr. Data Scientist

Bellevue, WA · On-site

$123K/yr

Support machine learning and analytics initiatives across dispute decisioning, merchant matching, and recovery analysis * Assist in the development of ML lifecycle components, including data ...

Annik Inc.

Sr. Data Analyst

Bellevue, WA

$96K - $121K/yr

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Annik Inc.

Sr. Data Analyst

Bellevue, WA · On-site

$96K - $121K/yr

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Annik Inc.

Sr. Data Analyst

Bellevue, WA · On-site

$96K - $121K/yr

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

Annik Inc.

Sr. Data Analyst

Bellevue, WA · On-site

$96K - $121K/yr

Company Description Annik is a global data and analytics solutions company helping businesses leverage their data assets to deliver tangible business value. We work with businesses across the globe ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

This role requires deep technical expertise in advanced data analytics and machine learning, as ... As a senior engineer, you will take ownership of key technical components and ensure that our ...

ECS

Senior Data Scientist

WA · On-site

Apply machine learning, network analytics, and advanced statistical techniques to solve ... Senior-level proficiency in Python: * For data science, automation, and analytics pipeline ...

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All JobsData Analyst Machine Learning JobsSenior Data Analyst Machine Learning JobsSenior Data Analyst Machine Learning Jobs in Kent, WA

Senior Data Analyst Machine Learning information

See Kent, WA salary details

$62.1K

$112K

$153K

How much do senior data analyst machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for senior data analyst machine learning in Kent, WA is $112,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $122,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

How does a Senior Data Analyst specializing in Machine Learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst Machine Learning, and why are they important?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

What is a Senior Data Analyst in Machine Learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.
What are popular job titles related to Senior Data Analyst Machine Learning jobs in Kent, WA? For Senior Data Analyst Machine Learning jobs in Kent, WA, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst Machine Learning jobs in Kent, WA look for? The top searched job categories for Senior Data Analyst Machine Learning jobs in Kent, WA are:
Senior Data Analyst Machine Learning jobs near you
Infographic showing various Senior Data Analyst Machine Learning job openings in Kent, WA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 79% Full Time, 12% Part Time, 3% Temporary, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $112,020 per year, or $53.9 per hour.
Senior Data Scientist

Senior Data Scientist

Weyerhaeuser

Seattle, WA • On-site

Full-time

Posted 14 days ago

Weyerhaeuser rating

7.9

Company rating: 7.9 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

5th of 18 rated forestry and logging companies

Job description

Job Summary:
Weyerhaeuser is the world’s premier timberland and forest products company, committed to sustainability and making a difference in the world. They are seeking a Senior Data Scientist to apply data science techniques to solve complex business problems in manufacturing, operations reliability, supply chain, and product quality, impacting operational efficiency and product quality.
Responsibilities:
• Collaborate with manufacturing engineers, maintenance teams, and operations leaders to understand the challenges and opportunities of our manufacturing processes.
• Analyze manufacturing process data, sensor/IoT data, and quality metrics to uncover actionable insights.
• Design, execute, and analyze online and offline experiments, including A/B testing, causal inference, and counterfactual analysis, to evaluate the impact of data science solutions on business outcomes.
• Design, develop, and evaluate machine learning and deep learning models to solve forecasting, optimization, reliability, anomaly detection, and decision-support problems.
• Design and implement statistical process control methods and anomaly detection techniques to proactively address quality issues in the manufacturing process.
• Own the end-to-end model lifecycle, including feature engineering, training, validation, deployment, monitoring, retraining, and continuous improvement.
• Collaborate with software engineers, ML engineers, and data engineers to productionize models and integrate AI capabilities into business workflows.
• Demonstrate the ability to apply data science and machine learning techniques across multiple domains (e.g., manufacturing, supply chain, pricing, logistics), abstracting core patterns, and adapting solutions to new problem spaces.
• Translate ambiguous business problems into scientific approaches and influence stakeholders through data-driven recommendations.
• Develop analytical visualizations and communicate findings through dashboards, notebooks, and presentations that drive business decisions.
• Mentor junior team members and contribute to data science standards, reusable patterns, and best practices.
Qualifications:
Required:
• 5+ years of experience solving problems through statistical modeling, applied machine learning, and data analysis.
• Strong proficiency in programming environments and languages, specifically Python (e.g. pandas, scikit-learn, etc.) and R.
• Deep understanding of machine learning, statistical modeling, time series forecasting, optimization, anomaly detection, and experimentation methodologies.
• Experience applying machine learning and deep learning techniques using frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Experience with experimentation and causal inference methods, including A/B testing, quasi-experimental designs, and counterfactual analysis.
• Experience communicating insights using Power BI or Python-based visualization libraries such as Plotly and Matplotlib.
• Experience with modern cloud platforms and data architectures, including AWS, Azure, Snowflake, and Databricks.
• Experience working with large datasets of manufacturing, quality, and sensor/IoT data.
• Excellent problem-solving skills and ability to translate business problems into data science solutions.
• Communicate findings clearly to both technical and non-technical stakeholders, providing recommendations that drive measurable improvements.
• Master's or Ph.D. in Data Science, Engineering, Physics, Computer Science, Machine Learning or related areas is required.
Preferred:
• Practical experience with Snowflake.
• Practical experience in Forestry Services or Wood Product manufacturing
• Experience with Industrial Internet of Things and time-series manufacturing data
Company:
We manage forests and manufacture products that make the world a better place. Founded in 1900, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Weyerhaeuser employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Weyerhaeuser

Sourced by ZipRecruiter

Weyerhaeuser is a leading international forest products company based in Seattle, WA, US. Established in 1900, the company has grown to become one of the largest timberland owners in the world. Weyerhaeuser is deeply rooted in the forestry industry and excels in timberland management, as well as the manufacture and distribution of a diverse range of forest products. The product slate encompasses lumber, plywood, wood chips, and other wood-derived materials predominantly used in construction, cellulose fiber production, and bioenergy.

Industry

Manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Seattle, WA, US

Year founded

1900

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