AI/ML Ops Data Scientist Jr.

Data Science And Analysis

Provide data science, artificial intelligence (AI) / machine learning (ML), and analytics support to Department of State clients.

Identify and address client needs, build client relationships, and drive initiatives forward.

Focus on a single priority project or drive multiple concurrent projects forward.

Collaborate with other data scientists and adjacent roles.

Wrangle, cleanse, and analyze data using Python.

Develop, evaluate, monitor, and maintain AI/ML predictive models and Natural Language Processing models using Python.

Develop advanced data visualizations and dashboards using Power BI or Tableau using best practices.

Perform data science in an Azure environment.

Leverage data science platforms such as Databricks.

Work with Large Language Models.

Containerize ML models using tools such as Docker and help manage deployments on OpenShift.

Write technical process flows, diagrams, and model documentation.

Present products and findings to clients and answer questions about methods and results.

Stay abreast of the latest advancements in AI/ML methods and technologies and apply them as appropriate.

Ensure AI/ML deployments adhere to commercial and public sector guidelines, policies and standards, delivering responsible use of AI.

Develop trusted relationships with clients at all levels of the organization to obtain a more complete perspective and understanding of our clients' mission, challenges, and goals to deliver tailored solutions and drive innovation in AI/ML and data science.

Support business development efforts (e.g., responding to RFPs/RFIs, developing white papers, creating pitch decks and capability briefings, etc.).

Support internal firm initiatives.

Continue to develop professionally and expand skills related to data science and consulting.

Active SECRET (or higher) security clearance.

Bachelor's degree in a relevant technical field.

Solid understanding of various supervised and unsupervised ML methods and techniques.

Proficiency in wrangling data and developing AI/ML models using Python.

Experience utilizing Large Language Models.

Understanding of Natural Language Processing.

Understanding of ML model containerization, such as with Docker.

Understanding of DevSecOps principles.

Ability to learn new technical skills.

Ability to operate independently or collaboratively in small teams.

Strong communication and presentation skills for both technical and non-technical audiences.

Ability to understand client mission, business processes, and data nuances and adapt data science solutions accordingly.

Ability to think strategically and drive innovation.

Ability to operate successfully on remote, hybrid, or on-site projects in the DC metro area.

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

Parental Leave

401(k) Retirement Plan

Group Term Life and Travel Assistance

Voluntary Life and AD&D Insurance

Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

Transit and Parking Commuter Benefits

Short-Term & Long-Term Disability

Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

Employee Referral Program

Corporate Sponsored Events & Community Outreach

Care.com annual membership

Employee Assistance Program

Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

Position may be eligible for a discretionary variable incentive bonus

Guidehouse is an Equal Opportunity EmployerProtected 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.

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 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.