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AI/ML Health Data Scientist- Consultant

Company: Guidehouse
Location: Silver Spring
Posted on: June 6, 2021

Job Description:


Guidehouse is a leading management consulting firm serving the public and commercial markets. We guide our clients forward towards new futures that build trust in society and your professional skills along the journey. Join us at Guidehouse.


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.

The Health Insurance Claims Analytics Senior Consultant focuses specifically on applying healthcare administrative data, such as claims, to address our clients challenges across the healthcare sector, including public health, payer, provider, and the pharmaceutical/life sciences industry.


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:

  • Proficiency in Geographic Information Systems (GIS) and working with spatial datasets
  • Statistical analysis, hypothesis testing, predictive modelling, simulation
  • Selecting and applying the appropriate analytical techniques
  • Analyzing large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis
  • Proficiency in ArcGIS or QGIS
  • Basic proficiency in an analytics programming language, such as R, Python, or SAS
  • Visualization skills with tools such as Tableau, Power BI, or R Shiny

Education: B.S./B.A. in Statistics, Mathematics, Computer Science, Economics, Business, Healthcare Administration, Public

Health, Data Science, Data Analytics, or similar discipline.

Skills/capabilities/knowledge applying advanced analytical approaches to health insurance claims data, such as :

Statistical analysis, predictive modelling, simulation, and machine learning

Selecting and applying the appropriate analytical techniques

Health economics, quality, cost, and outcomes measurement

Analyzing large and complex claims data sets, with strong aptitude for conducting quantitative and qualitative analysis

Proficiency with SAS and SQL

Desired Experience:

Education: M.S./M.A. in Statistics, Mathematics, Computer Science, Economics, Business, Healthcare Administration, Public Health, Data Science, Data Analytics, or similar 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 the healthcare sector, including such domains as public health, payer, provider, and pharmaceutical/life sciences.

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.


About Guidehouse

Guidehouseis an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contactGuidehouseRecruiting at 1-571-633-1711 or via email All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Rewards and Benefits

Guidehouseoffers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Position may be eligible for a discretionary variable incentive

Keywords: Guidehouse, Silver Spring , AI/ML Health Data Scientist- Consultant, Other , Silver Spring, Maryland

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