Guidehouse
AI/ML Health Data Scientist Senior Consultant
Guidehouse, Atlanta, Georgia, United States, 30383
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.
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.
:
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.
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.