Posted:
8/4/2024, 5:00:00 PM
Location(s):
Washington, District of Columbia, United States ⋅ Virginia, United States ⋅ District of Columbia, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
Job Family:
Data Science Consulting
Travel Required:
Clearance Required:
What You Will Do:
Provide analytics, data science, and business intelligence support to Department of State clients.
Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development in data science and analytics.
Identify and address client needs, build client relationships, and drive initiatives forward.
Wrangle, cleanse, and analyze data using Python and SQL.
Develop advanced visualizations and dashboards using Tableau and/or Power BI using data visualization and business intelligence (BI) best practices.
Perform data science in an Azure environment.
Leverage advance data science platforms such as Databricks.
Work with Large Language Models.
Write technical process/model documentation as needed.
Support business development including RFP, RFQ, and RFI responses and white papers.
What You Will Need:
An ACTIVE and CURRENT SECRET federal security clearance
Bachelor's degree in a quantitative, analytical, or computational discipline.
THREE (3) or more years of relevant professional experience in data analysis, data science or business analysis
Proficiency in wrangling data and developing machine learning models in Python.
Proficiency in developing dashboards in Power BI or Tableau.
Strong communication and collaboration skills.
Ability to understand complex data and business processes and adapt analytical/data science approach accordingly.
Ability to operate successfully on remote, hybrid, or on-site projects in the greater DC metro area.
M.S. or M.A. in a relevant quantitative, analytical, or computational discipline.
6+ years of relevant professional experience.
Professional experience in DevOps.
Professional experience developing data science solutions in Azure.
Professional experience utilizing Databricks.
Professional experience utilizing Large Language Models.
Proficiency in querying data using SQL.
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
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
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 [email protected]. 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.
Website: https://guidehouse.com/
Headquarter Location: Washington, District of Columbia, United States
Employee Count: 1001-5000
Year Founded: 2018
IPO Status: Private
Last Funding Type: Grant
Industries: Advice ⋅ Consulting ⋅ Management Consulting