Data Analyst/Data Scientist

Job Family:

Data Science & Analysis (Digital)

Travel Required:

Up to 25%

Clearance Required:

Ability to Obtain Public Trust

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.

The annual salary range for this position is $77,000.00-$129,000.00. 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

• 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 pr