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Forestry Data Analyst Jobs (NOW HIRING)

Data Engineer

Seattle, WA

$130K - $156K/yr

... forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That's the Weyerhaeuser way. About the Role Weyerhaeuser's Data & Analytics team is looking for a ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride. That's the Weyerhaeuser way. About the Role Weyerhaeuser's Data & Analytics team is looking for a ...

Cost Engineer - Data Analytics

Warren, MI · Hybrid

$107K - $129K/yr

This role sits within the PPCO Systems and Data Analytics teams and focuses on building and ... forests, gradient boosting, time-series/panel models), utilizing existing data to predict product ...

FORESTER

De Queen, AR · On-site

$58K - $86K/yr

Prepare and make public presentations and conduct forestry training.Collect data, analyze needs assessments, and prepare written forest management recommendations for private and public forest ...

FORESTER

Malvern, AR · On-site

$58K - $86K/yr

Prepare and make public presentations and conduct forestry training.Collect data, analyze needs assessments, and prepare written forest management recommendations for private and public forest ...

Hands-on experience with Python and/or R for data analysis and modeling. * Knowledge of data mining and ML algorithms (e.g., decision trees, random forest, regression, clustering). * Experience with ...

... forest, decision trees, etc * Ability to communicate analytical findings clearly in writing - you ... Exposure to Snowflake, Snowpark, or cloud data warehouse environments * Experience with dbt or ...

... forest, decision trees, etc * Ability to communicate analytical findings clearly in writing - you ... Experience with dbt or working in a layered data warehouse (raw → refined → curated ...

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Forestry Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do forestry data analyst jobs pay per year?

As of Jun 13, 2026, the average yearly pay for forestry data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Forestry Data Analyst typically collaborate with field teams and other departments?

Forestry Data Analysts often work closely with field teams to gather accurate data from forest sites and ensure the integrity of information used in analysis. They regularly communicate findings to forestry managers, ecologists, and GIS specialists to support decision-making in areas like conservation planning and sustainable harvesting. Collaboration also involves participating in cross-departmental meetings and contributing to reports that influence both operational strategies and long-term forest management goals.

What is the difference between Forestry Data Analyst vs Forest Technician?

AspectForestry Data AnalystForest Technician
Required CredentialsBachelor's degree in forestry, environmental science, or related field; data analysis skillsAssociate's degree or technical certification; fieldwork experience
Work EnvironmentOffice-based with field data collection; data analysis and reportingPrimarily in the field; data collection and site assessments
Employer & Industry UsageGovernment agencies, research institutions, consulting firmsForestry services, conservation agencies, government departments
Common Search & ComparisonData analysis, GIS, forest managementFieldwork, forest surveys, data collection

The Forestry Data Analyst focuses on analyzing forest data, creating reports, and supporting management decisions using data analysis tools. In contrast, the Forest Technician primarily conducts fieldwork, collects data on forest conditions, and supports field surveys. Both roles are essential in forestry but differ mainly in their focus—analytical versus fieldwork tasks.

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

To thrive as a Forestry Data Analyst, you need strong analytical skills, a background in environmental science or forestry, and proficiency in statistical analysis. Experience with GIS software, remote sensing tools, and data management systems—along with certifications like GIS Professional (GISP)—are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help distinguish top performers in this role. These competencies enable accurate data interpretation and support informed decision-making for sustainable forest management.

What does a Forestry Data Analyst do?

A Forestry Data Analyst collects, processes, and interprets data related to forests, such as tree growth, forest health, and resource usage. They use statistical and geospatial analysis tools to generate insights that help guide forest management and conservation efforts. Their work supports decision-making for sustainable forestry practices and can involve collaborating with scientists, government agencies, and environmental organizations. Typical tasks include data cleaning, GIS mapping, and preparing reports or visualizations to communicate findings.
More about Forestry Data Analyst jobs
What cities are hiring for Forestry Data Analyst jobs? Cities with the most Forestry Data Analyst job openings:
What states have the most Forestry Data Analyst jobs? States with the most job openings for Forestry Data Analyst jobs include:
Infographic showing various Forestry Data Analyst job openings in the United States as of June 2026, with employment types broken down into 31% Full Time, 38% Part Time, and 31% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Scientist - AI Strategy & Implementation

Data Scientist - AI Strategy & Implementation

Adidev Technologies Inc

Los Angeles, CA • On-site

Full-time

Posted 19 days ago


Job description

Role: Data Scientist - AI Strategy & Implementation
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Adidev Technologies Inc
www.adidevtechnologies.com
Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Job Description
• Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems.
• Strong foundation in Python programming in a cloud environment.
• Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
• Expertise in data wrangling using SQL,
• Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
• Fluency in querying/extracting/aggregating data via SQL scripting.
• Extract, load and transform data (ETL) from structured and unstructured sources
• Apply Natural Language Processing and Computer Vision to solve business use cases,
• Strong skills in scientific data analyses, modeling, visualization and communication of results.
• Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
Must have
• Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
• Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
• Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
• Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
• Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
• Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
• Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
• Distributed computing tools and cloud technology (AWS)
Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours).

Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough