Job Family:

Travel Required:

Clearance Required:

What You Will Do:

As an AI/ML Health Data Science Senior Consultant with Guidehouse you will present during meetings, summits, and working sessions with senior client executives. Provide subject matter expert support across multiple client engagements; develop and review presentations, briefings, and memos, and reports. Identify client needs and develop solutions to address these needs. Prioritize and handle multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment. Scope and staff projects to meet client requirements. Develop work plans that reflect project scope and client expectations. Provide oversight and development of work products from start to finish (from brainstorming and framework development to final edits and end-product). Exemplify and reinforce quality standards in work products. Gather/create/share experiences in area of expertise with focus on best practices.

Additionally, you will support:

Engagement Oversight and Management

• Ensure compliance with contract terms and conditions and internal firm policies
• Manage contract budgets
• Develop trusted relationships with clients
• Provide direction, feedback, and coaching to team members
• Build a pipeline of new business through active relationship development/management, proposal efforts, and thought leadership efforts

Career Development and Mentorship

• Mentor employees within the practice field of activity.
• Provide subject matter support, guidance and coaching of team members

What You Will Need:

Required:

Minimum Security Clearance: US Citizenship

Minimum Years of Experience: 3

Minimum Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, or similar quantitative discipline

Minimum Qualifications:

• Bachelor’s degree and 3 years of prior relevant consulting experience (relevant experience may be substituted for formal education or advanced degree)
• 3 years of experience with analytics development including Python or R
• Experience visually communicating data analysis visually, including bespoke analyses and BI Tools such as Power BI or Amazon QuickSight
• Experience managing data product development at enterprise scale, including on cloud platforms, Spark or other big data ML systems, and comfort using Jira, Slack, Teams, and other collaboration tools
• 3+ years of database experience, including SQL and noSQL
• A deep understanding of advanced analytics and Artificial Intelligence / Machine Learning (AI/ML) landscape
• 2+ years of consulting experience in top-tier management consulting, investment banking, finance, corporate strategy, product management
• Managed projects to timeline, scope and budget on multiple teams simultaneously
• Experience advising/briefing senior executives

What Would Be Nice to Have:

• Education:  M.S./M.A. in Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, or similar quantitative discipline. 
• Experience with standards-based health data code sets and value sets
• Experience with state level public health surveillance systems for state reportable, national notifiable, syndromic, inter-state sharing, or other similar use cases
• Experience with commercial health datasets, e.g., claims, encounters, risk scoring, HEDIS measures, etc.
• Knowledge of recent and ongoing public health initiatives in surveillance and informatics
• Experience managing a team of 1+ direct reports, including one-on-one meetings, feedback, coaching, retention, and career progression
• Public health or healthcare experience

What We Offer:

Guidehouse offers 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

• Position may be eligible for a discretionary variable incentive bonus

• 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

• Student Loan PayDown

• Tuition Reimbursement, Personal Development & Learning Opportunities

• Skills Development & Certifications

• Employee Referral Program

• Corporate Sponsored Events & Community Outreach

• Emergency Back-Up Childcare Program

• Mobility Stipend

About Guidehouse
Guidehouse is 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 contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. 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.