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AI/ML Health Data Science Senior Consultant

Guidehouse

Full-time
USA
$113k-$188k per year
data science
science
python
big data
sql
Apply for this position

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

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities 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.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

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.

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About the job

Full-time
USA
$113k-$188k per year
Posted 9 hours ago
data science
science
python
big data
sql

Apply for this position

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AI/ML Health Data Science Senior Consultant

Guidehouse

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

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities 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.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

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.

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