Instructional Data Science Design Consultant

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Guidehouse is a leading global provider of consulting services to the public and commercial markets with broad capabilities in management, technology, and risk consulting. We help clients address their toughest challenges and navigate significant regulatory pressures with a focus 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 prepare our clients for future growth and success. The company has more than 10,000 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 visit: www.guidehouse.com.
Responsibilities
Our consultants on the Data Analytics team help clients maximize the value of their data. This high performing team helps clients implement advanced analytical techniques such as machine learning and artificial intelligence to define their information strategy, enable mission critical insights, reduce cost and complexity, increase trust, and improve operational effectiveness.

This role involves leading a complex multi-functional Agile team with other data scientists, engineers, and UI/UX developers to develop and productionize analytics solutions. Responsible for leading and reviewing the work of multiple engineers, data scientists, performing QC on code/models, developing and testing Machine Learning algorithms. This requires the use of sophisticated distributed systems, the development of high-availability APIs, and the application of statistical techniques. It also involves working with the customer / product owner to gather and validate modeling business rules and assumptions. Working with open source tools and platforms to build AI/ML models into production systems that provide real-time insights into data, decision-making, and case complexity. As part of your job, you will handle large amounts of training data, rapidly prototype new cloud architectures, perform testing and push solutions into production. Must have strong problem-solving abilities, be able to work both at high and low levels of detail, have excellent communication skills.
Qualifications

The following qualifications are required to be considered for this role:

• An ACTIVE and CURRENT TS/SCI clearance and FULL SCOPE polygraph
• A Bachelor's degree
• Experience supporting the Intelligence Community
• Experience in workforce development, training, and coaching
• Instructional Design/Computer based training
• FIVE (5) - TEN (10) years' experience working with Data Science or related field

The following skills/experience/knowledge are desired for this role:

• Applied Mathematics experience
• Computer Programming 
• ETL
• SQL
• Hadoop
• Spark
• Java
• C/C++
• GIT
• Bash
• Tableau
• ArcGis
• Unix

Additional Requirements

The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described. No sponsorship is available for this position.