Guidehouse

Artificial Intelligence/Machine Learning Data Scientist Consultant

Chantilly, VA
Pandas Deep Learning PyTorch TensorFlow Machine Learning R NumPy Python SQL
Description

AI/ML Data Scientist Consultant

Location: US - VA, Chantilly

Time Type: Full time

Job Description

Job Family:

Data Science & Analysis


Travel Required:

None


Clearance Required:

Active Top Secret SCI with Polygraph

What You Will Do:
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.

What You Will Need:

  • 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

What Would Be Nice to Have:

  • 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.


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 [email protected]. 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 [email protected].  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 [email protected]. 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.

Guidehouse
Guidehouse

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