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Project Learning Tree Jobs in Pennsylvania (NOW HIRING)

Comcast

Machine Learning Engineer 3- 7882

Philadelphia, PA · On-site +1

$56.25 - $74.50/hr

... including tree-based models, linear and logistic regression, and time series models; use ... projects by implementing, rening, and validating machine learning algorithms for products and ...

Eastern University

Groundskeeper

PA · On-site

$13.75 - $17.75/hr

Through dynamic programs, a vibrant campus community, and meaningful service learning opportunities ... projects or site improvements * Conduct tree care activities including trimming, pruning, and ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA · On-site

Manage machine learning and statistical models to address various business needs * Demonstrate ... Effectively manage timelines and deliverables for multiple technical projects. Role Qualifications ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA

Manage machine learning and statistical models to address various business needs * Demonstrate ... Effectively manage timelines and deliverables for multiple technical projects. Role Qualifications ...

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All JobsProject Learning Tree JobsProject Learning Tree Jobs in Pennsylvania

Project Learning Tree information

See Pennsylvania salary details

$21

$51

$79

How much do project learning tree jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for project learning tree in Pennsylvania is $51.53, according to ZipRecruiter salary data. Most workers in this role earn between $40.72 and $60.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Project Learning Tree Coordinator, and why are they important?

To thrive as a Project Learning Tree Coordinator, you need a background in environmental education, strong organizational abilities, and experience in curriculum development—often supported by a relevant degree in education or environmental science. Familiarity with educational technology platforms, workshop facilitation tools, and knowledge of Project Learning Tree resources is typically required. Outstanding communication, leadership, and collaboration skills help in building partnerships and engaging diverse audiences. These competencies are crucial for effectively delivering environmental education programs and expanding their reach and impact.

What is the difference between Project Learning Tree vs Environmental Educator?

AspectProject Learning TreeEnvironmental Educator
CredentialsTypically no formal credentials required; training providedOften requires a degree in environmental science, education, or related field
Work EnvironmentClassroom, outdoor settings, workshopsSchools, nature centers, parks, community programs
Industry UsageUsed as a curriculum resource and training programProfessionally employed to educate about environmental issues
Search/Comparison IntentUnderstanding program differences or training optionsCareer options or job roles in environmental education

Project Learning Tree is primarily a curriculum and training program aimed at educators and volunteers, focusing on environmental education through workshops and resources. Environmental Educator is a professional role involving teaching environmental topics in various settings, often requiring formal education and certifications. While both focus on environmental awareness, one is a program and the other a career path.

What types of projects and daily tasks can I expect to work on as part of the Project Learning Tree team?

As a member of the Project Learning Tree (PLT) team, you will typically engage in developing and delivering environmental education programs, collaborating with educators and community partners, and supporting curriculum design. Daily tasks may include creating educational resources, organizing training workshops, and evaluating program outcomes. You will also frequently collaborate with other team members, such as education coordinators and outreach specialists, to ensure effective program implementation and continuous improvement. This role offers opportunities for creativity and impact, as well as professional growth in the environmental education sector.

What is Project Learning Tree?

Project Learning Tree (PLT) is an environmental education program designed to engage students and educators in learning about forests, trees, and the natural environment. It provides curriculum resources, training, and activities focused on sustainability and environmental stewardship. PLT aims to foster critical thinking, problem-solving, and decision-making skills while encouraging a deeper understanding of environmental issues. The program is widely used in schools and by community organizations to support hands-on, interdisciplinary learning.
What are popular job titles related to Project Learning Tree jobs in Pennsylvania? For Project Learning Tree jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Project Learning Tree jobs in Pennsylvania look for? The top searched job categories for Project Learning Tree jobs in Pennsylvania are:
Project Learning Tree jobs near you
Infographic showing various Project Learning Tree job openings in Pennsylvania as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $107,182 per year, or $51.5 per hour.
Machine Learning Engineer 3- 7882

Machine Learning Engineer 3- 7882

Comcast

Philadelphia, PA • On-site, Remote

$56.25 - $74.50/hr

Full-time

Posted 15 days ago

Job description

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we're making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

Job Description

DUTIES: Contribute to a team responsible for developing and supporting optimization and forecasting solutions for software used for inventory management, planning, and campaign delivery; apply mathematical programming, including linear and mixed integer programming and decomposition techniques; use machine learning techniques including tree-based models, linear and logistic regression, and time series models; use scikitlearn to create models; perform statistical modeling using techniques including linear and logistic regression, as well as clustering analysis, to determine the best modeling technique for a given dataset and problem; program using Python; manage code using Git; perform time series forecasting; manage relational databases and analyze data using SQL; perform distributed computing using Spark and TensorFlow; contribute to both software engineering and machine learning sides of projects by implementing, rening, and validating machine learning algorithms for products and applications; take action on existing specications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring; train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production; research, write, and edit documentation and technical requirements, including evaluation plans, conuence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports; create patents, including Application Programming Interfaces (APIs) and other intellectual property; test and evaluate solutions presented by various internal and external partners and vendors; complete case studies, testing, and reporting; design proof of concept solutions and contribute to studies to support future product or application development; collaborate with teams outside of immediate work group; and represent the work team in providing solutions to technical issues associated with assigned projects. Position is eligible for 100% remote work.

REQUIREMENTS: Master's degree, or foreign equivalent, in Computer Science, any Engineering, Data Science, Business Analytics, Statistics, or related technical or quantitative field, and one (1) year of experience using machine learning techniques including tree-based models, or linear and logistic regression; using scikitlearn or similar packages to create models; performing statistical modeling using techniques including either clustering algorithms, or linear and logistic regression, to determine the best modeling technique for a given dataset and problem; programming using Python; managing code using Git; of which six (6) months includes performing time series forecasting; analyzing data using SQL; and performing distributed computing using Spark, TensorFlow, or a similar framework.


Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

scikit-learn, Tensorflow, Tree-Based Models

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