https://JOBS.BURNETTSPECIALISTS.COM/ en-us The ideal candidate will possess strong communication skills, exceptional organizational abilities, and a general understanding of computer hardware, software, and workstation setup requirements.

Key Responsibilities:

• Manage participant movement between virtual breakout rooms during Technical Check sessions.
• Monitor waiting rooms, attendance, and participant engagement.
• Welcome new hires and provide clear onboarding session instructions.
• Communicate expectations, updates, and next steps to participants throughout the onboarding process.
• Coordinate with IT Support Technicians regarding troubleshooting and escalation needs.
• Track participant progress and maintain accurate session status records.
• Assist with administrative and operational tasks supporting onboarding initiatives.
• Support multiple concurrent or overlapping Technical Check sessions while maintaining organization and efficiency.
• Ensure participants are directed to the appropriate resources and support channels.
• Maintain a professional, positive, and welcoming experience for all new hires.

Qualifications:

• Strong customer service or customer-facing experience.
• Excellent verbal and written communication skills.
• Strong organizational skills with the ability to multitask in a fast-paced environment.
• Ability to quickly learn and follow established processes and procedures.
• Comfortable working independently and as part of a team.
• Proficient with Microsoft Office applications, including Outlook and Teams.
• Experience with virtual meeting platforms and breakout room management preferred.
• Basic to intermediate understanding of computers, computer peripherals, and workstation setup.
• Ability to assist new hires with basic computer setup questions and identify common technical issues for escalation to IT Support Technicians.

Preferred Experience

• Previous experience supporting onboarding, training, call center, workforce management, scheduling, or operational coordination functions.
• Experience in a high-volume, fast-paced environment.
• Familiarity with remote workforce operations and virtual onboarding processes.

Assignment Details:

• Through January 1, 2027
• Work Environment: Remote
• Primary Focus: Coordination of Technical Check sessions, participant management, communications support, and onboarding operations assistance during peak hiring season.

Desired Attributes
The successful candidate will be highly organized, technologically savvy, dependable, able to manage competing priorities, and comfortable interacting with large groups of new hires in a virtual environment. They should be confident navigating computer systems, assisting with basic workstation setup questions, and coordinating communication between participants and technical support teams.


Monday-Friday 7:00AM to 4:00PM Mountain time with possible overtime and occasional Saturday depending on volume.

$16/hr.


ELPSO70
]]> Mon, 20 Jul 2026 00:00:00 CDT 1 Senior Data Scientist 


Job Summary

Serves as a senior technical contributor within Data Science organization, providing strong expertise in scientific machine learning and advanced analytics for complex subsurface problems. The role combines hands-on model development with technical leadership across major initiatives, supporting the development of reusable learning systems for subsurface data, including foundation-model–style representation learning. The position emphasizes scientific rigor, technical influence, and cross-team collaboration, contributing to the design and evolution of large-scale learning systems while working alongside other senior technical leaders.



Responsibilities

• Lead the design, implementation, and evaluation of scientific machine learning models for subsurface and energy-related data.
• Contribute to the development of large-scale representation learning systems, including self-supervised and weakly supervised approaches.
• Provide technical guidance and review for complex modeling initiatives, ensuring robustness, generalization, and reproducibility.
• Own major technical workstreams and deliver scalable analytical solutions from research through deployment.
• Collaborate closely with senior data scientists, domain experts, and engineering teams to align technical solutions with business and scientific objectives.
• Guide experimentation practices, model evaluation standards, and technical documentation.
• Mentor data scientists and support knowledge sharing across the organization.
• Participate in external research activities, publications, or technical collaborations.

 

Key Competencies

• Scientific Machine Learning Expertise: Strong understanding of ML applied to physical or scientific systems.
• Large-Scale Representation Learning: Experience with modern deep learning architectures and training workflows for complex datasets.
• Technical Leadership: Ability to guide technical workstreams and influence outcomes through expertise.
• Experimental Rigor: Strong focus on hypothesis-driven development and reproducible experimentation.
• Collaborative Influence: Works effectively within multi-lead, interdisciplinary environments.
• Mentorship: Supports development of technical talent and best practices.

 

Qualifications

• MSc or PhD in Machine Learning, Data Science, Applied Mathematics, Physics, Geophysics, or a related technical discipline.
• Typically 5–10 years of experience in applied data science or research-oriented machine learning roles.
• Strong background in modern deep learning and scientific ML applied to complex or large-scale datasets.
• Experience leading technical initiatives or complex modeling projects.
• Experience in energy, geoscience, or large-scale scientific/industrial domains preferred

]]> Mon, 03 Aug 2026 00:00:00 CDT 1