- Create and apply machine learning capabilities to enrich data.
- Determine appropriate approaches to analyze data sets, including statistical analysis.
- Maintain existing ML tools, such as v19 auto-tagging and citation analysis.
- Develop and expand ML data science tools, such as NIPF v20, future auto-tagging, and unsupervised clustering capability.
- Develop and deploy ML tools to evaluate analytic tradecraft conformance or other text-based standards, such as confidence and probability.
- Maintain code and model documentation sufficient to support design and code reviews, enable efficient deployment of code into operational systems, and address/diagnose issues stemming from code and model outputs.
- Develop forecasting and modeling tools that offer diagnostic and predictive insight regarding IC mission performance and connection to other inputs and variables, such as resources and priorities.
- Bachelor's degree in a relevant field (Computer Science, Economics,
- 8+ years of data science experience and/or training in data science.
- Extensive demonstrated skills and experience with developing and tuning AI/ML algorithms and implementing testing/validation approaches appropriate to available data and validation targets.
- Demonstrated experience leading technical teams in a management or subject matter expert advisory capability.
- Advanced experience using Python and appropriate libraries/extensions (e.g., PyTorch, Cuda, SciKit-Learn) to code and test AI/ML algorithms.
- Extensive demonstrated experience in written and verbal communication on complex analytic methods and/or technologies to technical and non-technical audiences.
- Extensive experience with natural language processing tools and techniques.
- Advanced understanding of descriptive statistics, regression, and data labeling/classification models.
- Advanced skills in designing IC solutions based on user requirements.
- Advanced knowledge of IC cloud services.
- Advanced skills in data extraction, parsing, manipulation, and storage; quantitative and qualitative analyses based on the large volume of data from various IC databases
- Extensive experience conducting data extraction, parsing, manipulation, and analysis of large volumes of data from various IC databases.
- Experience with data engineering techniques, especially for cloud-based data infrastructure and data lake environments.
- Extensive experience developing custom scripts, queries, or visualizations to support analysis of IC data.
- Experience with cloud-based tools and services for ML algorithm development on multiple platforms (e.g., AWS Sagemaker, Microsoft Azure ML, Google BigQuery).
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Data Scientist - McLean, United States - ANALYTIC SOLUTIONS GROUP, LLC
Description
The Sponsor requires 4.0 FTE of Data Science contractor support.In this role, the contractor will undertake the following responsibilities:
Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.
The following are REQUIRED qualifications for this position:
Bioinformatics) or equivalent relevant experience.
The following are DESIRED qualifications for this position:
CONDITIONS OF EMPLOYMENT:
TS/SCI w/Poly Required
U.S. Citizenship Required
Federal Employment Suitability
E-Verify Eligibility Required*ASG is an equal opportunity employer (EEO)
*ASG participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). E-Verify helps employers determine employment eligibility of new hires and the validity of their social security numbers.
Benefits
Health Insurance
Paid time off
Dental insurance
401(k)
Vision insurance
Tuition reimbursement
Life insurance
401(k) matching
Disability insurance
Retirement plan
Referral program
Health savings account
Flexible spending account