AI/ML Health Data Science Consultant
Location: On-Site, Arlington, VA

Job Description:

Job Family: Data Science Consulting
Travel Required: Up to 10%
Clearance Required: Ability to Obtain Public Trust

Are you passionate about transforming healthcare with data-driven insights? Are you ready to make an impact through AI and machine learning in the world of health data science? Join our dynamic team at Guidehouse, where you'll collaborate with clients to harness the power of data and innovate the way healthcare works.

As an AI/ML Health Data Science Consultant, you'll help our clients turn their data into mission-critical insights, driving smarter decision-making and improving operational effectiveness. With your skills in data science and machine learning, you will work on projects that automate business processes and revolutionize the healthcare industry.

What You'll Do:

  • Unlock the Power of Data: Help clients maximize the value of their data by transforming complex datasets into actionable insights using the full spectrum of data science techniques, from querying and wrangling to predictive analytics and AI.
  • Client-Focused Solutions: Work closely with clients to define their information strategy, enabling data-driven decisions that reduce complexity and increase trust.
  • Innovate and Implement: Contribute to business development and internal initiatives while constantly sharpening your own professional skills. Your role will also involve staying ahead of industry trends, particularly in healthcare.
  • Collaborate & Communicate: Present findings to stakeholders, ensuring that technical information is clearly communicated to both technical and non-technical audiences.

What You'll Need:

  • Experience: At least 1 year of data science experience, ideally in a professional setting.
  • Technical Skills:
    • Proficiency in Python or R for data analysis.
    • Experience with SQL for data transformation and reporting.
    • Strong analytical skills to work with large, complex datasets.
  • Communication: Excellent verbal and written communication skills to interact with diverse audiences and effectively convey insights.
  • Agile Mindset: Familiarity with Agile processes and tools like Kanban and Git.
  • Clearance: Ability to obtain a Public Trust clearance.

Nice to Have:

  • Advanced Education: A Bachelor’s or Master's degree in Statistics, Data Science, Computer Science, or a related field.
  • Healthcare Experience: Knowledge of healthcare claims, coding systems like ICD, CPT, DRG, or working with EMR/EHR data and health standards (e.g., SNOMED, FHIR).
  • AI/ML Expertise: Experience with predictive modeling, simulation, or AI/ML techniques for healthcare applications.
  • Data Visualization: Experience using BI tools like Power BI, Amazon QuickSight, or other tools to communicate insights visually.
  • Business Development: Familiarity with RFP/RFQ responses, white papers, and building prototype solutions.

What We Offer:

At Guidehouse, we believe in investing in our people and creating an environment where everyone can thrive. We offer a comprehensive benefits package, including:

  • Health & Wellness: Medical, Dental, Vision insurance, and Health Savings Accounts.
  • Retirement Plans: 401(k) plan with a generous match.
  • Work-Life Balance: Paid time off, parental leave, and personal development opportunities.
  • Student Loan PayDown: Support to help reduce your student debt.
  • Growth Opportunities: Tuition reimbursement, skills development programs, and certifications.
  • Community Impact: Participate in corporate-sponsored events and volunteer programs.

Why Guidehouse?

Guidehouse is more than just a company; it's a team of passionate professionals working together to drive meaningful change. As a consulting firm with a diverse and inclusive workplace, we are committed to providing our clients with innovative solutions and empowering our employees to grow in their careers. Whether you’re focused on healthcare or data science, you’ll have the chance to make an impact from day one.


Key Skills:

  • AI/ML Health Data Science Consultant