Cleared Data Scientist - Managing Consultant

Guidehouse•Arlington, VA
•Hybrid

About The Position

Guidehouse is hiring a Managing Consultant in its Data Science Consulting job family to join a collaborative team dedicated to AI and data science. The role focuses on client services while also supporting business development, internal firm initiatives, and continued professional development in data science, data analytics, and/or data engineering. The consultant works with cross-functional teams as a data scientist, data analytics professional, or business intelligence professional, and continues developing expertise in relevant software, methods, and consulting. The position supports remote projects as well as hybrid, on-site projects in the DC metro area. The annual salary range is $130,000 to $216,000. Compensation decisions depend on factors including skills, experience and training, security clearances, licensure and certifications, and business and organizational needs.

Requirements

  • Active Secret or Top Secret clearance.
  • Bachelor of Science or Bachelor of Arts degree in a relevant quantitative and/or computational discipline.
  • At least 8 years of relevant professional experience, or at least 6 years of relevant professional experience with a relevant master's degree.
  • Proficiency connecting data sources and wrangling and analyzing data using Python.
  • Proficiency querying and wrangling data using SQL.
  • Strong understanding of statistics and statistical methods and principles.
  • Ability to learn new software tools, such as Power Automate.
  • Ability to design data modeling processes, create algorithms and predictive models, and perform custom analysis.
  • Experience leading data-driven analytic activities involving identification of key indicators for 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 electronically stored information.
  • Competency in data mining, including structuring raw data to recognize patterns and generate information and insights.
  • Ability to understand client missions, business processes, and data nuances and adapt data science solutions accordingly.
  • Experience as a data consultant or in a technical solutions advisory capacity, translating client needs and recommending technical solutions, methodologies, processes, or tools.
  • Ability to clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership.
  • Ability to work independently, meet with clients to gather requirements, and proactively advance initiatives while collaborating 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 PowerBI.
  • 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

  • Provide data science, data analytics, or business intelligence services in collaboration with cross-functional teams.
  • Support client services, business development, and internal firm initiatives.
  • Continue professional development in data science, data analytics, and/or data engineering, including relevant software and methods.
  • Lead data-driven analytic activities, including identifying indicators of compliance and effectiveness related to mission and business success.
  • Manipulate large data sets to identify trends and develop 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.
  • Conduct data mining by structuring raw data to identify patterns and generate useful information and insights.
  • Understand client missions, business processes, and data nuances and adapt data science solutions accordingly.
  • Advise clients on technical solutions, methodologies, processes, or tools based on critical capability needs.
  • Communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership.
  • Meet with clients to gather requirements and proactively advance initiatives in collaboration 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.
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