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Forestry Operations Manager Jobs in Santa Rosa, CA

Applied Data Scientist

Santa Rosa, CA · On-site

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate, clean, and align simulation, measurement, and operational data for scalable AI/ML model ... Develop and validate ML models using tree-based methods (XGBoost, LightGBM, Random Forests) and ...

Applied Data Scientist

Santa Rosa, CA · On-site

$117K - $196K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate, clean, and align simulation, measurement, and operational data for scalable AI/ML model ... Develop and validate ML models using tree-based methods (XGBoost, LightGBM, Random Forests) and ...

Showing results 21-30

Forestry Operations Manager information

See Santa Rosa, CA salary details

$33.9K

$69.4K

$129.6K

How much do forestry operations manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for forestry operations manager in Santa Rosa, CA is $69,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,800.00 and $84,700.00 per year, depending on experience, location, and employer.

What does a forestry operations manager do?

A Forestry Operations Manager oversees and coordinates the activities involved in managing forests and forest resources. Their responsibilities include planning and supervising logging operations, ensuring compliance with environmental regulations, managing budgets, and coordinating with contractors and government agencies. They also focus on sustainable forestry practices, resource conservation, and the safety of workers. This role requires strong leadership, organizational, and communication skills, as well as knowledge of forestry regulations and best practices.

What are the key skills and qualifications needed to thrive as a forestry operations manager?

To thrive as a Forestry Operations Manager, you need expertise in forest management, resource planning, and regulatory compliance, typically backed by a degree in forestry or a related field. Familiarity with GIS software, forest inventory tools, and relevant certifications like SAF Certified Forester are commonly required. Strong leadership, problem-solving, and communication skills help you effectively manage teams and coordinate with stakeholders. These skills ensure sustainable forest operations, legal compliance, and the achievement of organizational goals.

What are common challenges faced by forestry operations managers and how can they be addressed?

Forestry Operations Managers often encounter challenges such as balancing sustainable harvesting practices with production targets, ensuring worker safety in remote or hazardous environments, and adapting to regulatory changes. Effective communication with team members and stakeholders, ongoing training, and staying informed about best practices in sustainable forestry are essential to overcoming these challenges. Additionally, leveraging technology for planning and monitoring operations can help streamline processes and maintain compliance.

What is the difference between Forestry Operations Manager vs Forest Technician?

AspectForestry Operations ManagerForest Technician
CredentialsBachelor's degree in forestry or related field; often requires experience in managementAssociate's degree or technical certification in forestry or environmental science
Work EnvironmentOversees multiple projects, manages teams, and coordinates operations in forest sitesWorks in the field assisting with data collection, planting, and site assessments
Industry UsageUsed in forestry companies, government agencies, and environmental organizations for managerial roles

The Forestry Operations Manager focuses on overseeing forest projects, managing teams, and strategic planning, while the Forest Technician supports fieldwork, data collection, and site assessments. Both roles are essential in forestry operations but differ in responsibilities and required experience.

Can you make good money with a forestry degree?

Forestry Operations Managers can earn competitive salaries, often ranging from $60,000 to over $100,000 annually depending on experience, location, and employer size. Advanced certifications, management skills, and experience in forest management or environmental consulting can increase earning potential.

What job categories do people searching Forestry Operations Manager jobs in Santa Rosa, CA look for?

The top searched job categories for Forestry Operations Manager jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Forestry Operations Manager jobs?

Cities near Santa Rosa, CA with the most Forestry Operations Manager job openings:

Applied Data Scientist

Keysight Technologies

Santa Rosa, CA • On-site

$117K - $196K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Keysight Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

49th of 157 rated electronics manufacturers


Job description

Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
As an Applied Data Scientist, you'll operate at the intersection of data engineering, data science, and machine learning. You'll design and implement large-scale data architectures, develop robust data pipelines, and build high-quality ML models that integrate simulation and measurement data from diverse domains.
Your work will directly influence Keysight's advanced R&D initiatives, from algorithm development to AI-assisted engineering tools.
Responsibilities
  • Partner with internal engineering and data teams to identify key data sources, define feature requirements, and align data standards across organizations.
  • Design, implement, and maintain data lakes, databases, and ETL/ELT pipelines (Snowflake, Databricks, SQL, Python).
  • Integrate, clean, and align simulation, measurement, and operational data for scalable AI/ML model development.
  • Conduct exploratory data analysis, dimensionality reduction (e.g., PCA), clustering, and regression to extract insights.
  • Develop and validate ML models using tree-based methods (XGBoost, LightGBM, Random Forests) and Bayesian Optimization for tuning.
  • Apply signal processing and data augmentation techniques to improve data quality and coverage.
  • Document data lineage, feature definitions, and modeling rationale for reproducibility and transparency.
  • Communicate insights and recommendations to stakeholders, influencing data-driven decisions across R&D and product teams.

Qualifications
  • Master's or PhD in Data Science, Computer Science, Electrical Engineering, Statistics, or related field.
  • 1+ years' experience as a Data Scientist / Applied Data Scientist
  • Proven ability to build and maintain scalable data infrastructures (data lakes, schemas, pipelines).
  • Strong programming skills in Python (pandas, numpy, scikit-learn), SQL, and optionally C++.
  • Proficiency with Snowflake, Databricks, or similar big-data environments.
  • Hands-on expertise in tree-based ML techniques and statistical modeling.
  • Familiarity with Bayesian Optimization and feature engineering for time-series or signal data.
  • Ability to move fluidly between data exploration, engineering, and modeling tasks.

Desired Qualifications
  • Experience in data architecture design, schema governance, or cross-team data standards.
  • Knowledge of MLOps principles for productionizing models and maintaining pipelines.
  • Experience with metadata management and feature store design.
  • Prior exposure to environments combining simulation and real-world measurement data.

Careers Privacy Statement
Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.
California Pay Range: MIN $117,750- MAX $196,250
Colorado Pay Range: MIN $109,030 - MAX $181,720
Note: For other locations, pay ranges will vary by region.
US Employees may be eligible for the following benefits:
- Medical, dental and vision
- Health Savings Account
- Health Care and Dependent Care Flexible Spending Accounts
- Life, Accident, Disability insurance
- Business Travel Accident and Business Travel Health
- 401(k) Plan
- Flexible Time Off, Paid Holidays
- Paid Family Leave
- Discounts, Perks
- Tuition Reimbursement
- Adoption Assistance
- ESPP (Employee Stock Purchase Plan)

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