Job Family:
Data Science Consulting
Travel Required:
Up to 10%
Clearance Required:
Ability to Obtain Public Trust
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.
What You Will Need:
- Minimum of THREE (3) years of experience
- Minimum Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, or similar quantitative discipline
- Public health or healthcare experience
- US Citizenship is contractually required for this role
- Experience with standards-based health data code sets and value sets, such as ICD-10, DRG, and CPT
- 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
- 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 in data analytics and data visualizations, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modelling, simulation, and machine learning
- 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 with 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
- Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)
- 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
- Experience delivering projects to timeline, scope and budget
- 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.
The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
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
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