Full-Time

AI/ML Data Scientist Consultant

Confirmed live in the last 24 hours

Guidehouse

Guidehouse

10,001+ employees

No salary listed

Senior

Company Does Not Provide H1B Sponsorship

Reston, VA, USA

US Top Secret Clearance Required

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
R
SQL
Machine Learning
Data Analysis
Requirements
  • An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a FULL SCOPE (FS/FSP) polygraph
  • Bachelor’s degree
  • FIVE or more (5+) years of experience Data Science or Data Analytics.
  • Experience cleaning, manipulating, and pre-processing data using Python, SQL, or R
Responsibilities
  • Support all phases of analytic work product development, from the identification of key business questions, through data collection and ETL, from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
Desired Qualifications
  • M.S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline.
  • Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks
  • Experience with Data science and ML packages such as scikit-learn, pandas, NumPy etc.
  • Experience designing and implementing technology for new or existing business applications.
  • Experience developing systems requirements, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions under weekly and monthly deadlines.
  • Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development, ML Ops and putting models into production.
  • Define success metrics for various AI/ML initiatives; analyze data from experiments and/or simulation models to identify and quantify the impact of changes.
  • Guide AI/ML adoption and roll out strategy by communicating the results of experiments to key strategic leaders and multiple stakeholders.
  • Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data.
  • Develop newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets.

Company Size

10,001+

Company Stage

Acquired

Total Funding

$5.3B

Headquarters

Washington, District of Columbia

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven healthcare solutions could save $200-$360 billion in US healthcare costs.
  • Guidehouse's new leadership in CE&I aims to build a more resilient future.
  • RNG industry's $7.2 billion GDP contribution showcases growth potential in renewable energy.

What critics are saying

  • Increased competition in digital health consulting may dilute Guidehouse's market share.
  • Leadership changes could disrupt strategic direction in key segments.
  • Rapid AI adoption may outpace Guidehouse's integration capabilities, risking client satisfaction.

What makes Guidehouse unique

  • Guidehouse partners with HIMSS to enhance digital health transformation using maturity models.
  • Stuart Brown's leadership in Digital business aims to drive innovation and transformation.
  • Guidehouse's RNG collaboration highlights significant economic impact in renewable energy sectors.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Paid Vacation

Paid Sick Leave

Paid Holidays

Sabbatical Leave

Hybrid Work Options

Stock Options

Company Equity

401(k) Retirement Plan

401(k) Company Match

Performance Bonus

Profit Sharing

Employee Stock Purchase Plan

Relocation Assistance

Employee Referral Bonus

Student Loan Assistance

Parental Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Childcare Support

Elder Care Support

Pet Insurance

Bereavement Leave

Professional Development Budget

Conference Attendance Budget

Training Programs

Tuition Reimbursement

Professional Certification Support

Mentorship Program

Wellness Program

Mental Health Support

Gym Membership

Commuter Benefits

Meal Benefits

Phone/Internet Stipend

Home Office Stipend

Legal Services

Employee Discounts

Company Social Events

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

3%

2 year growth

19%
Hit Consultant
Feb 12th, 2025
Human-Generated Data: The Missing Link In Ai-Powered Revenue Cycles

Matt Seefeld, Chief Commercial Officer, MedEvolveMounting financial pressures for healthcare organizations mean sustainability hinges on reducing the cost to collect. Ongoing challenges associated with declining reimbursements, higher clinical and administrative costs and staffing shortages in the billing department leave providers without a lot of recourse for improving operational margin. Yet within the growing list of negative bottom-line issues, there is one area where healthcare leaders have some control to improve the outlook: increasing staff capacity by reducing the amount of touches it takes to get paid for services rendered.In an effort to streamline revenue cycle processes, many provider organizations are turning to the adoption of automation, analytics and AI to become more effective. A  2023 McKinsey analysis points to significant cost savings associated with these efforts to the tune of eliminating $200 billion to $360 billion of spending in US healthcare overall. In fact, healthcare executives named automation and AI as their highest investment priority for revenue cycle to speed payments and address staffing challenges in a 2024 Guidehouse survey.Like providers, the opportunity is not lost on health plans. Payers are rapidly adopting AI and automation to serve their bottom-line goals

Hit Consultant
Feb 12th, 2025
Human-Generated Aata: The Missing Link In Ai-Powered Revenue Cycles

Matt Seefeld, Chief Commercial Officer, MedEvolveMounting financial pressures for healthcare organizations mean sustainability hinges on reducing the cost to collect. Ongoing challenges associated with declining reimbursements, higher clinical and administrative costs and staffing shortages in the billing department leave providers without a lot of recourse for improving operational margin. Yet within the growing list of negative bottom-line issues, there is one area where healthcare leaders have some control to improve the outlook: increasing staff capacity by reducing the amount of touches it takes to get paid for services rendered.In an effort to streamline revenue cycle processes, many provider organizations are turning to the adoption of automation, analytics and AI to become more effective. A  2023 McKinsey analysis points to significant cost savings associated with these efforts to the tune of eliminating $200 billion to $360 billion of spending in US healthcare overall. In fact, healthcare executives named automation and AI as their highest investment priority for revenue cycle to speed payments and address staffing challenges in a 2024 Guidehouse survey.Like providers, the opportunity is not lost on health plans. Payers are rapidly adopting AI and automation to serve their bottom-line goals

HIMSS
Feb 11th, 2025
HIMSS and Guidehouse Announce Agreement to Advance Digital Health Transformation

As a new member of the HIMSS Digital Health Consulting Partner program, Guidehouse will employ several of HIMSS's key maturity models including:

PR Newswire
Feb 10th, 2025
Guidehouse Teams Up With Himss To Advance Digital Health Transformation

Initiative will help healthcare organizations improve their digital maturity and enhance care deliveryMCLEAN, Va., Feb. 10, 2025 /PRNewswire/ -- Guidehouse, a global consultancy providing advisory, digital, and managed services to the commercial and public sectors, has teamed up with the Healthcare Information and Management Systems Society (HIMSS), a trusted global authority on healthcare innovation, to advance digital health transformation. As a new member of the HIMSS Digital Health Consulting Partner (DHCP) program, Guidehouse will use HIMSS digital maturity models to assess healthcare organizations' technology capabilities, implement tailored strategies and solutions, and work with organizations to help them reach a more advanced state of digital health adoption.HIMSS digital maturity models have been used for more than a decade in over 7,000 healthcare facilities across the U.S. As a part of this initiative, Guidehouse will use three HIMSS models:HIMSS Analytics Maturity Assessment Model (AMAM): This model, with a newly added AI governance and deployment component, supports advanced analytics literacy, robust data governance, and transparency in patient data management, while enabling organizations to scale AI-driven insights for population health improvements.This model, with a newly added AI governance and deployment component, supports advanced analytics literacy, robust data governance, and transparency in patient data management, while enabling organizations to scale AI-driven insights for population health improvements. HIMSS Community Care Outcomes Maturity Model (C-COMM): Designed for non-acute care organizations, this model emphasizes strategic access to care by focusing on improving health outcomes for specific population segments through proactive interventions and prevention strategies. Focused on value-based care, the C-COMM model fosters innovation and supports comprehensive digital health transformation in community-based care settings, ensuring more efficient, patient-centered delivery.Designed for non-acute care organizations, this model emphasizes strategic access to care by focusing on improving health outcomes for specific population segments through proactive interventions and prevention strategies

PR Newswire
Feb 3rd, 2025
Guidehouse Appoints New Leaders To Communities, Energy Infrastructure Segment

Formerly the Energy, Sustainability & Infrastructure segment, new leadership and renamed business unit underscores firm's commitment to community impact and innovationMCLEAN, Va., Feb. 3, 2025 /PRNewswire/ -- Guidehouse, a global consultancy providing advisory, digital, and managed services to the commercial and public sectors, has announced new leadership appointments within its renamed Communities, Energy & Infrastructure (CE&I) segment, previously known as Energy, Sustainability & Infrastructure (ES&I).Michelle Fay, a seasoned partner with over 25 years of experience leading transformative energy initiatives, will now serve as the Global Energy Providers practice Leader. Dan Hahn, formerly head of the Global Energy Providers practice, will be joining Guidehouse's Chief Growth Office as the CE&I Segment Growth Leader."Michelle and Dan have been instrumental in delivering innovative, forward-thinking solutions for our clients," said Chris O'Brien, CE&I Segment Leader. "We are thrilled to have Michelle's deep expertise in transformative energy programs and Dan's strategic vision for growth position us to better address the evolving challenges our clients face as we help them build a more resilient future.""This marks an exciting chapter for Guidehouse, and I am thrilled to welcome Dan to this pivotal role leading growth in these vital industries," added Ed Meehan, Chief Growth Officer at Guidehouse. "With Dan's proven leadership and passion for driving impact, we are poised to deliver even greater value to our clients. Together, we'll support our clients in achieving meaningful outcomes where it matters most."Guidehouse's CE&I segment serves energy providers, large enterprises, and federal, state, and local governments