Data Scientist; AI​/ML Focus

Position: Data Scientist (AI/ML Focus)
** Job Family:
** Management Consulting
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* Travel Required:

** None
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* Clearance Required:

** Active Secret
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* What You Will Do:

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* What You Will Need:

**** What Would Be Nice To Have:
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* 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 Pay Down
* 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 or via email at Recruitin 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  or   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.

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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  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.
** Assist in developing AI/ML models for infrastructure analysis.
* Support data cleaning and preprocessing tasks.
* Help create dashboards and visualizations for leadership.
* Participate in automation of workflows using scripts.
* Conduct exploratory data analysis under supervision.
* Document model development steps and maintain code repositories.
* Assist in integrating models into cloud environments.
* Support feature engineering for predictive models.
* Collaborate on wargaming and simulation projects.
* Prepare reports summarizing analysis results.
* An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
* Bachelor’s degree in Data Science or STEM field.
* Experience with Python programming
* Experience with Jupyter notebooks.
* Understanding of machine learning fundamentals.
* Ability to work with structured datasets.
* Familiarity with data visualization tools.
* Strong analytical and problem-solving skills.
* Willingness to learn cloud technologies.
* Good communication and documentation skills.
* Ability to follow coding best practices.
* Interest in AI/ML applications for DoD.
* Exposure to cloud platforms like AWS or Azure.
* Knowledge of SQL for data manipulation.
* Familiarity with data engineering concepts.
* Experience with visualization libraries (Matplotlib, Seaborn).
* Understanding of Dev Sec Ops  principles.
* Exposure to big data tools like Spark.
* Interest in predictive modeling and optimization.
* Experience with version control tools like Git.
* Knowledge of DoD data governance standards.
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