Data Scientist, Consultant

Key Skills

Java Programming, Management, Python Programming, Database, SQL, Aartificial intelligence, Machine learning techniques, Data science techniques, Business Intelligence, QlikView, Tableau, Data Analytics, R Programming, Data Modelling, Data Engineering, Data Lake, Data Warehousing, Data Governance

Job Description

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. For more information, please

Responsibilities

Our consultants on the Advanced Analytics & Intelligent Automation team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data engineering and querying to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. Our consultants focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.

• Provide the full spectrum of data science services to support the mission of Defense clients.

• Belong to a collaborative team dedicated to Advanced Analytics and Intelligent Automation.

• Support business development and internal team initiatives.

• Continue career development in data science software, methods, and consulting.

Qualifications

Required:

• U.S. citizenship and ability to obtain a Public Trust clearance.
• 2+ years of relevant experience.
• B.S./B.A. in a relevant quantitative and computational discipline.
• Ability to analyze large and complex data sets (structured and unstructured), with strong aptitude for conducting quantitative and qualitative analysis.
• Proficiency querying data using SQL.
• Strong understanding/experience in statistical analysis, predictive modelling and machine learning, and other artificial intelligence.
• Proficiency performing data science and predictive modeling using Python or R.
• Experience developing data visualizations/dashboards using Tableau, Power BI, or Qlik, and knowledge of Business Intelligence best practices.
• Ability to uphold strong data management.
• Ability to create project plans.
• Ability to juggle multiple ongoing workstreams/projects.
• Ability to lead a small team responsible for delivering data science services and products and proposing potential projects.
• Strong communication/presentation skills and ability to explain technical topics to non-technical audiences.
• Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward.

Preferred:

• M.S./M.A. in a relevant quantitative and computational discipline.
• Proficiency in a data visualization software such as Tableau, Power BI, or Qlik.
• Tableau Desktop certification: Certified Professional, Certified Associate, Specialist.
• Experience with geospatial and operations data to create GIS visualizations and perform spatial analyses.
• Experience with Discrete Event Simulation tools and techniques
• Familiarity with automation solutions including SharePoint online, Power Automate, and UiPath.

• Understanding of database, data warehouse, and data lake principles/concepts.
• Familiarity with data governance.
• Experience supporting business development including RFP/RFQ/RFI responses and white papers.
• Experience/knowledge of the Defense sector.