Guidehouse Inc.
Databricks Data Scientist
US - Remote (Any location) · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 38%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- This position offers virtual work flexibility within the United States.
- The annual salary range for this position is $113,000.00-$188,000.00.
- About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Responsibilities
- Prepare, clean, and maintain datasets for modeling, experimentation, and analysis.
- Write, optimize, and maintain Python and SQL workflows for data exploration, feature engineering, and model development.
- Design reusable feature engineering workflows and model training pipelines using Databricks notebooks, workflows, and MLflow.
- Register, version, promote, and document models using MLflow Model Registry and Unity Catalog-based model governance practices.
- Analyze data to identify trends, patterns, and insights to support business decisions.
- Perform data validation, quality checks, and issue resolution to ensure accuracy and consistency.
- Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders.
- Document models, datasets, and methodologies to support reproducibility, transparency, and reuse.
Requirements
- Travel Required:
- Clearance Required:
- Bachelor's degree in computer science, engineering, mathematics, statistics, or another relevant field.
- Strong experience with Python and SQL for data analysis, modeling, and transformation.
- Experience with Databricks, Spark, Delta Lake, or similar cloud-native data platforms.
- Experience with ML lifecycle practices including experiment tracking, model evaluation, model registry, version control, deployment workflows, monitoring, and retraining approaches.
- Experience with data preparation, feature engineering, and model development.
Nice to have
- 2+ years of hands-on experience with the Databricks platform.
- Experience with Databricks MLflow, Feature Engineering, Feature Store, Model Serving, Workflows, Unity Catalog, Mosaic AI, Vector Search, AI Gateway, or related Databricks AI/ML capabilities.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience working in project-based or consulting delivery environments.
- Familiarity with data modeling, data warehousing, and large-scale data processing concepts.
- 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.
- About Guidehouse
- Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Compensation
- 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
- 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.
- 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.
Equal opportunity
- 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.
- Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
This listing is sourced directly from Guidehouse Inc.'s careers page and normalized into a canonical job model.