AI/ML Data Scientist Consultant

Guidehouse • Chantilly, VA

2d

About The Position

Our Data and Analytics consultants help clients maximize the value of their data. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence. They will join a team responsible for developing advanced analytics products; applying data visualization and statistical programming tools to enterprise data to advance and enable the key mission outcomes. In this role, they will 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. This role requires special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.

Requirements

• An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a FULL SCOPE (FS/FSP) polygraph
• Bachelor’s degree
• FOUR or more (4+) years of experience Data Science or Data Analytics
• Experience cleaning, manipulating, and pre-processing data using Python, SQL, or R

Nice To Haves

• 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 conducting cutting edge research in AI and ML with emphasis on novel algorithm development and advanced methodologies especially concerning model interpretability.
• Experience Designing, executing and evaluating exercises against AI models to ensure robustness against attack in real-world environments.
• Experience developing and implementing risk assessment frameworks to evaluate model assurance, interpretability, and performance reliability.
• Experience maintaining a thorough understanding of the latest advancements in AI/ML research and model security, actively contributing to the development of best practices and defensive strategies.
• Strong foundation in python, deep learning frameworks (Pytorch, Tensorflow), and experience with the tools and libraries relevant to AI model evaluation.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level