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Job details

Data Scientist - job 1 of 5

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:
We are seeking a full‑time Data Scientist to support and scale data‑driven initiatives across analytics, AI, and machine learning. This role partners closely with engineering, product, and business stakeholders to turn complex data into actionable insights and production‑ready solutions.

Key Responsibilities

  • Analyze large, complex datasets to identify trends, patterns, and insights that inform business and product decisions
  • Design, develop, and deploy statistical models and machine learning algorithms
  • Build and maintain data pipelines, feature engineering processes, and analytical workflows
  • Partner with cross‑functional teams to define data requirements, KPIs, and success metrics
  • Translate technical findings into clear, compelling insights for technical and non‑technical audiences
  • Support experimentation, A/B testing, and model validation and monitoring
  • Contribute to data science best practices, documentation, and model governance
  • Mentor junior team members and contribute to a strong data science culture

What You Will Need:

  • A bachelor’s is required
  • Strong experience in data science, analytics, or applied machine learning
  • Minimum one (1) year of experience with Python and/or R for data analysis and modeling, or a Master’s degree in a related field, and or internship may be considered as equivalent experience
  • Strong SQL skills and experience working with relational and analytical databases
  • Solid foundation in statistics, probability, and predictive modeling
  • Experience working with both structured and unstructured data
  • Ability to collaborate effectively in a cross‑functional, fast‑paced environment

What Would Be Nice To Have:

  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch)
  • Experience supporting AI‑driven products or data platforms
  • Knowledge of MLOps, model monitoring, or production deployment practices
  • Strong communication and stakeholder‑management skills

The annual salary range for this position is $98,000.00-$163,000.00. 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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CEO of Guidehouse
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Scott McIntyre
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Average salary estimate

$130500 / YEARLY (est.)
min
max
$98000K
$163000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Full-time, onsite
DATE POSTED
April 3, 2026
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