AI/ML Data Scientist Consultant

Posted:
8/29/2024, 1:38:06 PM

Location(s):
Chantilly, Virginia, United States ⋅ Virginia, United States

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

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
  • SIX (6)+ years' of experience supporting the IC or DoD customers
  • 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.,
  • Ability to support clients in identifying and addressing needs, building relationships, and driving solutions forward and experience leading small teams.
  • Experience designing and implementing technology for new or existing business applications. 
  • Experience developing systems requirements, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions under weekly and monthly deadlines. 
  • Problem solving capabilities demonstrated in a team context to debug, troubleshoot complex software orchestrations, and/or identify solution options. 
  • Experience scoping and estimating individual tasks, as well as performing on multiple tasks with minimal supervision. 
  • Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development, ML Ops and putting models into production.
  • Define success metrics for various AI/ML initiatives; analyze data from experiments and/or simulation models to identify and quantify the impact of changes.
  • Guide AI/ML adoption and roll out strategy by communicating the results of experiments to key strategic leaders and multiple stakeholders.
  • Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data.
  • Develop newer techniques (for example, advanced machine learning algorithms, auto ML) by leveraging the latest trends in machine learning, artificial intelligence to train algorithms to apply models to new data sets.
  • Excellent communication skills, both verbal and written


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 Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, 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.


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 LLP

Website: https://guidehouse.com/

Headquarter Location: Washington, District of Columbia, United States

Employee Count: 1001-5000

Year Founded: 2018

IPO Status: Private

Last Funding Type: Grant

Industries: Advice ⋅ Consulting ⋅ Management Consulting