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 ...
Remote Tree information
What are the key skills and qualifications needed to thrive as a Remote Tree Specialist, and why are they important?
To thrive as a Remote Tree Specialist (Arborist working remotely), you need expertise in arboriculture, plant biology, and tree risk assessment, typically supported by an arborist certification such as ISA Certified Arborist. Familiarity with GIS mapping tools, remote sensing technology, and tree inventory management systems is essential for remote analysis and planning. Strong communication, problem-solving skills, and attention to detail help you effectively advise clients and collaborate with teams from a distance. These competencies ensure accurate tree health assessments, effective remote recommendations, and high standards of environmental stewardship.
What are some common challenges faced by professionals working in remote tree care and how can they be managed?
Professionals in remote tree care often face challenges such as limited access to job sites, unpredictable weather conditions, and ensuring safety while working in isolated environments. To manage these issues, teams typically employ advanced planning, utilize remote communication tools, and receive specialized training for working with limited resources. Collaboration with local landowners or agencies is also common to facilitate access and support. Emphasizing safety protocols and remote first aid preparedness is essential for success in these roles.
What are Remote Tree jobs?
Remote Tree jobs refer to positions in the arboriculture industry that can be performed remotely, often involving tasks such as tree health assessments, remote monitoring, consulting, or planning using digital tools. These roles may include remote arborists, forestry consultants, GIS specialists, or support staff who use technology to evaluate and manage tree populations without being physically present onsite. Remote Tree professionals typically use satellite imagery, drone footage, or specialized software to provide their expertise. This allows greater flexibility and can help organizations manage forests or urban greenery more efficiently. The rise of digital tools has expanded opportunities for tree and forestry professionals to work remotely.
What are the most commonly searched types of Tree jobs in Arizona? The most popular types of Tree jobs in Arizona are:
What are popular job titles related to Remote Tree jobs in Arizona? For Remote Tree jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Tree jobs in Arizona look for? The top searched job categories for Remote Tree jobs in Arizona are:
What cities in Arizona are hiring for Remote Tree jobs? Cities in Arizona with the most Remote Tree job openings:
Full-time
Posted 15 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.