AI/ML Health Data Scientist - Senior 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 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 querying and data wrangling, 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.

Qualifications

Security clearance: Ability to obtain a Public Trust clearance

Minimum years of relevant experience: 3

Education: B.S./B.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.

Experience working with analytical models, methods, applications, and tools, such as:

• Statistical analysis, predictive modelling, simulation, machine learning, and artificial intelligence
• Selecting and applying the appropriate analytical techniques
• Analytics for business, operations, human capital, or financial management
• Analyzing large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis
• Proficiency in an analytics programming language, such as R, Python, or SAS
• Visualization skills with tools such Tableau, Power BI, or R Shiny

Desired Experience:

Education: M.S./M.A. in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.

Skills and/or proven success in the following:

• Contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building strong, collaborative relationships with team members
• Collaborating and working in a team environment, as well as the ability to work independently
• Communicating effectively to various audiences, including various levels of management and external clients, in a professional environment
• Identifying and addressing client needs, building relationships with clients, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor
• Business development including RFP/RFQ responses, developing white papers/concept papers, and building and demonstrating prototype solutions to customers
• Knowledge of defense, national security, financial, healthcare, international development, or state and local government environment

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.