Data Analyst/Data Scientist
Apply Job ID 31439 Date posted 08/08/2025Job Family:
Data Science & Analysis (Digital)
Travel Required:
Clearance Required:
What You Will Do:
- Collaborate cross-functionally with business stakeholders, data scientists, and software engineers to understand requirements and translate them into technical solutions.
- Communicate technical concepts and model capabilities to non-technical stakeholders in a clear and compelling manner.
- Develop and maintain production-grade code and data pipeline documentation for data systems and products in support of regulatory programs.
- Build and optimize data models and systems.
- Analyze and interpret complex data sets to support decision making.
- Develop, and stay abreast of industry best practices in data engineering, interactive data visualizations\Business Intelligence (i.e. Qlik and Posit), AI, and machine learning technologies (ML) in Databricks.
- Support the development of regulatory systems and other quality surveillance related automation in the cloud environment, including module improvements using data analytics and machine learning. .
- Use version control software (i.e. Git) to work on data science projects in a team environment.
- Prepare technical reports and/or presentations on data science projects.
What You Will Need:
- US Citizenship is required
- A bachelor's degree is required
- Minimum ONE (1) year of experience as a data analyst or in a similar role
- Experience in working with unstructured data sources (e.g., text, images, audio) and structured data (i.e., Oracle, SQL, Microsoft Excel).
- Knowledge of data visualization tools (e.g., Tableau, Power BI, and R).
- Proficient programming skills in Python, TensorFlow, PyTorch, or other relevant frameworks.
- Strong understanding of data modeling, data warehousing, and ETL (Extract, Transform, Load) processes.
- Experience in building and deploying production-grade data systems or products.
- Familiarity with statistical concepts and methods, such as regression analysis, hypothesis testing, and time series analysis.
- Excellent critical thinking and problem-solving skills.
- Ability to communicate complex data insights and recommendations effectively to both technical and non-technical stakeholders.
- Proven track record of delivering impactful data-driven projects or products.
What Would Be Nice To Have:
- Familiarity with financial data sources, regulations, and industry-specific use cases such as fraud, know-your-customer, forecasting, credit risk management, pricing and revenue optimization, Fair Lending, and/or ESG, among others.
- Experience working with health, clinical or regulatory data or related life science areas.
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Proficiency in numeric computing Python libraries such as NumPy, Pandas/Polars, Streamlit, and Scikit-learn.
- Understanding of machine learning and deep learning techniques.
- Familiarity with agile software development methodologies.
- Technical/product management and software experience.
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
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
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.