AIML Data Scientist

Guidehouse

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profile Job Location:

Arlington, TX - USA

profile Monthly Salary: $ 113000 - 188000
Posted on: 5 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Family:

Data Science Consulting


Travel Required:

Up to 25%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Partner with stakeholders to define and deliver AI/analytics use cases translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search discovery and insight generation across structured and unstructured data.
  • Build and implement NLP semantic search and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g. OCR/ICR outputs metadata and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments including Palantir Foundry Databricks and AWS-based platforms.
  • Develop model evaluation frameworks confidence scoring and explainability approaches to ensure transparency and usability of AI outputs.
  • Support development of analytics reporting and dashboards to drive operational insights and decision-making.
  • Operate within an Agile delivery model contributing to sprint planning experimentation and iterative solution delivery.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences including client stakeholders.
  • Contribute to solution design proposal support and thought leadership in AI/analytics capabilities.


What You Will Need:

  • Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics or related field.
  • A minimum of 4 years of experience in data science machine learning or applied analytics roles
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • Experience developing and applying machine learning models including:
    • Natural Language Processing (NLP)
    • Semantic search or information retrieval
    • Entity resolution or relationship modeling
  • Experience working with large-scale structured and unstructured data particularly document-based datasets (e.g. text PDFs images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g. Pandas Scikit-learn PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access processing or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g. AWS S3 Databricks) including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g. APIs batch pipelines or embedded analytics platforms).
  • Understanding of model evaluation validation and performance metrics.
  • Strong communication skills and ability to translate analytical outputs into actionable insights.
  • Experience working in cross-functional matrixed teams in an Agile environment.


What Would Be Nice To Have:

  • Experience working with Palantir Foundry and/or Palantir AIP particularly in support of AI-enabled search or analytics workflows.
  • Consulting experience strongly preferred
  • Experience building AI-enabled search solutions including semantic search document retrieval and ranking models.
  • Experience with multimodal data processing including text and image-based analytics.
  • Familiarity with OCR/ICR pipelines and document intelligence use cases.
  • Experience with enterprise ML platforms (e.g. AWS SageMaker Databricks Machine Learning) for model development deployment and lifecycle management.
  • Experience developing explainable AI (XAI) solutions including confidence scoring and traceability of results.
  • Experience designing analytics dashboards or reporting solutions for end users.
  • Previous experience supporting federal clients or working in regulated environments.
  • Experience in a consulting firm and/or client-facing delivery role.
  • Experience supporting training user enablement or scaling analytics capabilities across teams.
  • Familiarity with graph-based analytics ontology-driven models or relationship mapping.

The annual salary range for this position is $113000.00-$188000.00. 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 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.

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- or via email at . 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 @ or . 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 Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants 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.


Required Experience:

IC

Job Family:Data Science ConsultingTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Partner with stakeholders to define and deliver AI/analytics use cases translating business needs into scalable data science solutions.Design and develop machine learning mode...
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Guidehouse is the only scaled advisory consultancy in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.

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