Job Family:
Digital Consulting (Digital)
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
Please note that this job posting is for a proposal of a potential client and is not reflective of an awarded job. In addition, we are only collecting resumes and interviewing based off the skillset and qualifications listed below.
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 for data systems and products.
- Build and optimize data models and systems.
- Analyze and interpret complex data sets to support decision making.
- Stay up to date with developments in data engineering, Business Intelligence, AI, and ML.
What You Will Need:
- US Citizenship is required
- Bachelor's degree is required
- Minimum ONE (1) year of experience as a data analyst or in a similar role
- Excellent programming skills in Python, TensorFlow, PyTorch, or other relevant frameworks.
- Proficiency in numeric computing Python libraries such as NumPy, Pandas/Polars, Streamlit, and Scikit-learn.
- 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 with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Experience in working with unstructured data sources (e.g., text, images, audio).
- Understanding of machine learning and deep learning techniques.
- Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly).
- 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 Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, 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.
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.
