Cleared Data Scientist - Managing Consultant

Guidehouse•Alexandria, VA

2d•$130,000 - $216,000•Hybrid

About The Position

The Managing Consultant will join a collaborative AI and data science team and work as a data scientist, data analytics, or business intelligence professional alongside cross-functional teams. The role focuses on client services while also supporting business development, internal firm initiatives, and ongoing professional development in data science, data analytics, and/or data engineering. The position may support remote projects as well as hybrid on-site projects in the DC metro area. The successful candidate will develop data science and analytics solutions that fit client missions, business processes, and data nuances; lead data-driven analytic activities; and communicate technical solutions, insights, and results to technical and non-technical audiences, including leadership.

Requirements

Active Secret or Top Secret clearance.
B.S. or B.A. in a relevant quantitative and/or computational discipline.
At least 8 years of relevant professional experience, or at least 6 years with a relevant M.S. or M.A. degree.
Proficiency connecting data sources and wrangling and analyzing data using Python.
Proficiency querying and wrangling data using SQL.
Strong understanding of statistics, statistical methods, and principles.
Ability to learn new software tools, such as Power Automate.
Experience leading data-driven analytic activities and identifying indicators related to compliance and effectiveness.
Experience manipulating large data sets to identify trends and inform strategic business decisions.
Ability to clean, aggregate, and organize data from multiple sources and transfer it to data warehouses.
Ability to define data requirements and ensure the storage, availability, and coherence of electronic information.
Competency in data mining, including structuring raw data to identify patterns and generate insights.
Experience as a data consultant or in a technical solutions advisory capacity, translating customer capability needs and recommending technical solutions, methods, processes, or tools.
Ability to communicate and present technical solutions, insights, and results clearly to technical and non-technical audiences, including leadership.
Ability to work independently, meet with clients to gather requirements, follow through on initiatives, and collaborate with teams and stakeholders.
Ability to think strategically and drive innovation.
Ability to support on-site and hybrid projects in the DC metro area.

Nice To Haves

Experience developing and deploying machine learning models in Python.
Proficiency in Power BI.
Experience and proficiency automating data analytics and other business processes using Power Automate.
Knowledge of additional coding languages such as R and SQL.
Experience performing analytics and data engineering in a cloud environment such as Azure or AWS.
Understanding of AI frameworks and methodologies.
Quality control experience, including debugging and conducting quality assurance of new features and enhancements.
Knowledge of process improvement principles such as Lean, Six Sigma/DMAIC, Total Quality Management, or Continuous Improvement/Kaizen.
Ability to facilitate meetings and present topics to diverse groups of functional and technical staff.
Experience developing new processes and redesigning existing processes to meet evolving business requirements.
Excellent verbal and written communication skills.
Relevant experience supporting the Department of State or other Federal Government organizations.

Responsibilities

Work as a data scientist, data analytics, or business intelligence professional in collaboration with cross-functional teams.
Focus on client services while supporting business development and internal firm initiatives.
Continue professional development in data science, data analytics, and/or data engineering.
Design data modeling processes, create algorithms and predictive models, and perform custom analysis.
Lead data-driven analytic activities involving the identification of key indicators for compliance and effectiveness.
Manipulate large data sets to identify trends and draw meaningful conclusions that inform strategic business decisions.
Clean, aggregate, and organize data from multiple sources and transfer it to data warehouses.
Define data requirements and ensure electronically stored information is stored, available, and coherent to meet organizational needs.
Use data mining to structure raw data, recognize patterns, generate information, and surface insights that help the organization manage risks.
Understand client missions, business processes, and data nuances and adapt data science solutions accordingly.
Advise clients on technical solutions by translating capability needs and recommending solutions, methodologies, processes, or tools.
Clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership, and explain how they can inform business decisions.
Meet with clients to gather requirements, proactively advance initiatives, and collaborate with teams and stakeholders.
Support remote projects and hybrid on-site projects in the DC metro area.

Benefits

Medical, prescription, dental, and vision insurance.
Personal and family sick time and company-paid holidays.
Position may be eligible for a discretionary variable incentive bonus.
Parental leave and adoption assistance.
401(k) retirement plan.
Basic life and supplemental life insurance.
Health Savings Account and dental/vision and dependent care Flexible Spending Accounts.
Short-term and long-term disability.
Student loan paydown.
Tuition reimbursement, personal development, and learning opportunities.
Skills development and certifications.
Employee referral program.
Corporate-sponsored events and community outreach.
Emergency back-up childcare program.
Mobility stipend.