Can work remote. All applicants must be eligible & willing to be hired on W2. You will lead various ... such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or ...
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Can work remote. All applicants must be eligible & willing to be hired on W2. You will lead various ... such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or ...
Seasonal Summer Laborer
Bullhead City, AZ · On-site +1
$22.40/hr
Must work safely around heavy equipment and other machinery, on high ladders, structures, or down in manholes. Extended exposure to direct sunlight and frequently strong winds. Work areas include ...
Seasonal Summer Laborer
Bullhead City, AZ · On-site +1
$22.40/hr
Must work safely around heavy equipment and other machinery, on high ladders, structures, or down in manholes. Extended exposure to direct sunlight and frequently strong winds. Work areas include ...
Remote Tree Work information
What are the key skills and qualifications needed to thrive in Remote Tree Work, and why are they important?
To thrive in Remote Tree Work, you need strong knowledge of arboriculture, tree climbing techniques, and safe chainsaw operation, typically supported by relevant certifications such as ISA Certified Arborist or Tree Worker credentials. Familiarity with tree assessment tools, rigging systems, and aerial lift equipment is often required. Physical fitness, attention to detail, and effective communication are essential soft skills for safety and teamwork in challenging environments. These skills ensure safe and efficient tree care, minimize risks, and facilitate collaboration in often hazardous and remote settings.
What are some common challenges faced by professionals in remote tree work, and how can they be addressed?
Professionals in remote tree work often encounter challenges such as difficult terrain, unpredictable weather conditions, and limited access to resources or emergency support. Effective preparation, including thorough site assessments, proper safety gear, and clear communication protocols, is essential for overcoming these obstacles. Many teams rely on advanced technology, such as drones or GPS mapping, to plan and execute tasks safely and efficiently. Collaborative teamwork and ongoing training help ensure everyone is prepared for the unique demands of working in remote locations.
What is remote tree work?
Remote tree work refers to arboricultural tasks performed in locations that are difficult to access, often far from urban centers or traditional job sites. This work can include tree pruning, removal, health assessments, and other tree care services in remote or wilderness areas. Professionals in this field may need specialized equipment and skills to safely manage trees in challenging terrain, such as forests, mountains, or areas inaccessible by vehicles. Remote tree work is essential for maintaining healthy ecosystems, preventing wildfires, and ensuring safety in areas where trees may pose risks to infrastructure or natural habitats.
What is the difference between Remote Tree Work vs Arborist?
| Aspect | Remote Tree Work | Arborist |
|---|---|---|
| Credentials | Certifications vary; often includes safety and equipment operation | Required certifications include ISA Arborist Certification, safety training |
| Work Environment | Primarily remote, planning, consulting, or administrative tasks | On-site, involving climbing, pruning, and tree maintenance |
| Industry Usage | Used in consulting, project management, or remote support roles | Hands-on tree care and maintenance roles in the industry |
Remote Tree Work typically involves planning, consulting, or administrative tasks that can be performed remotely, often requiring certifications in safety and equipment. In contrast, Arborists work directly in the field, performing tree pruning, removal, and maintenance on-site. While both roles may share safety certifications, their work environments and daily tasks differ significantly.
What are the most commonly searched types of Tree Work jobs in Arizona? The most popular types of Tree Work jobs in Arizona are:
What are popular job titles related to Remote Tree Work jobs in Arizona? For Remote Tree Work jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Tree Work jobs in Arizona look for? The top searched job categories for Remote Tree Work jobs in Arizona are:
Full-time
Posted 16 days ago
Job description
Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.
You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
- Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
- Uses machine learning techniques to create data-driven solutions for various business use-cases.
- Writes programs utilizing existing libraries and methodologies.
- Interprets, communicates, and presents analytic results to C-Level executives and below.
- Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
- Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
- Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
- Contributes to the organization's data strategy and roadmap.
- Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
- Master's or PhD degree in a quantitative field with 5+ years of data science experience.
- Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
- Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
- Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
- Ability to work with large data sets from multiple data sources
- Ability to communicate complex analytics concepts and techniques to C-Level executives and below
- Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
- Intellectual curiosity, a passion for data, and a results orientation.