As an AI/ML Data Scientist at Guidehouse, you will partner with stakeholders to define and deliver AI/analytics use cases, design and develop machine learning models, and leverage document-based data to extract insights. You will also collaborate with data engineers to integrate models into production environments and support the development of analytics, reporting, and dashboards. This role requires a strong proficiency in Python for data science and machine learning, as well as experience working with Databricks and/or Spark-based environments. Experience with Palantir Foundry and/or Palantir AIP, as well as consulting experience, is highly desirable.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- 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 NLP, semantic search, and entity resolution
- Experience working with large-scale structured and unstructured data, particularly document-based datasets
- Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow)
- 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)
- 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
Benefits
- 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
