Technical SETA SME – Machine Learning, Modeling & Simulation

Location: US - MD, Bethesda

Time Type: Full time

Job Description

Job Family:

Data Science & Analysis (ESA)

Travel Required:

Up to 10%

Clearance Required:

Active Top Secret SCI with Polygraph

What You Will Do:

The Technical SETA will provide support in the execution of the lifecycle of a research program from development, source selection, execution, closeout, and transition. The Technical SETA will be responsible for attending meetings, workshops, conferences, and testing events as the Subject Matter Expert.

In this role, the Technical SETA will serve as the Subject Matter Expertise in Circuit Automation and Design Engineering using Artificial Intelligence.

What You Will Need:

• An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a polygraph

• Bachelor’s degree in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software)

• EIGHT (8) or more years of work experience in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software). Experience should include, but not be limited to:

  • Experience in the development of trajectory analytics or human mobility modeling

  • Experience with R&D of spatiotemporal data modeling

  • Experience with R&D of machine learning algorithms

  • Experience managing a multi-disciplinary R&D or Test and Evaluation (T&E) team

  • Experience creating program plans, work breakdown structures, and milestone schedules

What Would Be Nice To Have:

• Master’s degree or PhD in physics, mathematics, computer science, or relevant engineering fields (electrical, computer, systems, software) with FOUR (4) or more years of work experience

• Experience with microsimulation of human mobility

• Experience with architectures supporting large spatiotemporal data management and processing

• Experience in the Intelligence Community (IC), including requirements, CONOPS, and transition

• Experience with R&D of cloud engineering and management of cloud-based architectures

• Experience managing a multi-disciplinary R&D or T&E team

• Experience with R&D of machine learning algorithms

• Experience as a Project Manager or Deputy Project Manager

• Experience with utilization, development, and management of cloud environments and/or classified commercial cloud environments

• Ability to proactively manage multiple, concurrent tasks

• Excellent writing and editing skills, including the ability to develop succinct, comprehensive, and understandable documents using complex data from multiple sources

• Excellent slide development and PowerPoint skills, with the ability to visually communicate complex ideas at a high level for technically savvy but non-expert audiences

• Strong organizational, problem-solving, and time-management skills; detail oriented

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance

• Personal and Family Sick Time & Company Paid Holidays

• Position may be eligible for a discretionary variable incentive bonus

• Parental Leave and Adoption Assistance

• 401(k) Retirement Plan

• Basic Life & Supplemental Life

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

• Short-Term & Long-Term Disability

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.