Data Scientist (AI/ML Focus)

Guidehouse Inc.
San Antonio, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

San Antonio, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Cloud Computing
Data Cleansing
Information Engineering
Data Governance
Data Visualization
Revision Control Systems
Python
Machine Learning
Standard Sql
Jupyter Notebook
Data Processing
Feature Engineering
Spark
GIT
Matplotlib
Data Management
Devsecops

Job description

  • 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.

Requirements

  • An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
  • Bachelor's degree in Data Science or STEM field.
  • Experience with Python programming

What Would Be Nice To Have:

  • 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 DevSecOps 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.

Benefits & conditions

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.

Apply for this position