Make more Creative Job Post Content< AI/ML Health Data Scientist Senior Consultant
- Responsibilities:
Are you ready to make an impact on public health using the power of AI and advanced analytics? Join Guidehouse, where our mission is to transform healthcare systems and solve critical challenges for our clients. As a Senior Consultant in AI/ML Health Data Science, you’ll play a vital role in driving data-driven solutions that improve lives.
Who We Are
At Guidehouse, we are pioneers in data science consulting, working at the cutting edge of healthcare innovation. Our team collaborates with public health leaders, government agencies, and healthcare organizations to shape the future of health analytics. If you’re passionate about applying AI/ML expertise to improve public health outcomes, this is the opportunity for you.
The Role
As an AI/ML Health Data Scientist Senior Consultant, you will:
- Present insights and solutions to senior executives, helping them navigate complex challenges with confidence.
- Serve as a subject matter expert across client engagements, delivering high-quality presentations, reports, and briefs.
- Build innovative solutions tailored to client needs, leveraging advanced analytics, machine learning, and health informatics.
- Oversee data product development, ensuring scalability, efficiency, and integration with enterprise systems.
- Manage and mentor a team, fostering growth and excellence in a collaborative environment.
Your Key Responsibilities
- Engagement Management: Deliver projects on time, within scope, and on budget. Build trusted relationships with clients and team members alike.
- Innovation: Develop cutting-edge health analytics solutions using AI/ML, cloud platforms, and big data technologies.
- Data Storytelling: Translate complex analyses into actionable insights, using tools like Power BI, Python, and R.
- Mentorship: Guide team members, offering feedback and career development support.
- Public Health Expertise: Leverage your knowledge of public health initiatives, datasets, and informatics to support mission-critical projects.
What You Bring
Required Qualifications:
- 3+ years of relevant experience, including consulting, analytics, or health data management.
- Proficiency in Python, R, SQL, and noSQL databases.
- Strong background in AI/ML, advanced analytics, and cloud technologies like Spark.
- Experience with BI tools such as Power BI or Amazon QuickSight.
- Proven ability to manage complex projects, meet deadlines, and lead teams.
Preferred Qualifications:
- Advanced degree (M.S./M.A.) in Statistics, Mathematics, Computer Science, or a related field.
- Experience with health data standards, such as HEDIS measures and public health surveillance systems.
- Familiarity with commercial health datasets, including claims and risk scoring.
- Knowledge of state and federal public health initiatives.
Why Guidehouse?
When you join Guidehouse, you’re not just advancing your career—you’re driving meaningful change in public health. Our comprehensive benefits and growth opportunities include:
- Competitive compensation, including bonuses.
- 401(k) Retirement Plan with employer match.
- Tuition reimbursement and skills development programs.
- Generous parental leave and flexible working arrangements.
- Community outreach and corporate-sponsored events.
