Data Scientist

Unissant


Job Location:

Washington, AR - USA

Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Unissant Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise data acumen and technology know-how to achieve breakthrough results for our clients. Working collaboratively we advance missions and careers through a focus on honesty integrity and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization please visit us at .

We are seeking a Data Scientist to join our team in Washington DC in support of the Department of Homeland Security (DHS) Immigration and Customs Enforcement (ICE) Law Enforcement Systems and Analysis (LESA) program within the Strategy and Operations Analysis (SOA) Unit.

The SOA Unit provides planning analysis and technical support spanning the entire Enforcement Lifecycle delivering advanced analytics visualization and modeling capabilities to inform ERO and ICE management decisions at headquarters and field levels including responses to congressional inquiries and interagency working group collaborations. SOA utilizes advanced predictive analytics simulation and modeling to forecast implications of resource needs policy shifts and migration changes. The ideal candidate is an analytically rigorous data scientist with experience applying machine learning and statistical modeling to complex law enforcement and operational datasets.

Essential Duties and Responsibilities:

  • Develop maintain and enhance predictive models and machine learning solutions including supervised and unsupervised methods to support ICE/ERO mission analytics resource forecasting and operational decision-making within the SOA Unit.
  • Contribute to the development and maintenance of LESAs suite of Discrete Event Simulation (DES) models to capture components of the Immigration Enforcement and Removal Lifecycle.
  • Perform data wrangling and ETL operations to acquire clean integrate and transform complex datasets from flat files data warehouses and external/academic sources into formats suitable for modeling and analysis.
  • Design and develop data visualizations dashboards and analytical products using standard and non-standard datasets to identify patterns insights and geospatial trends in support of SOA reporting.
  • Maintain and improve LESA-related geospatial capabilities and Logistics Optimization Decision Support Tools.
  • Assess and apply current and emerging AI visualization modeling and business intelligence technologies including Python GitHub Qlik Tableau ArcGIS Databricks and Palantir Foundry.
  • Streamline reporting on key performance indicators across the data and visualization enterprise; promote information sharing among field and HQ stakeholders.
  • Support DHS model accreditation processes including drafting model documentation covering design methodology requirements decision-making applications and stakeholder engagement.
  • Support ad-hoc activities model and tool enhancements and special projects including congressional inquiries policy change analysis and ERO strategic logistics initiatives.
  • Integrate structured and unstructured data from disparate sources; implement data cleaning validation and quality review processes; implement security measures for sensitive law enforcement data.

Work Experience and Job Skills:

  • 3 years of experience in data science machine learning advanced analytics or related analytical disciplines preferably supporting federal law enforcement DHS/ICE/ERO or national security missions.
  • Demonstrated experience developing and applying predictive modeling and machine learning techniques including regression classification clustering time series and ensemble methods.
  • Experience with Discrete Event Simulation (DES) modeling or operations research methods is a strong plus.
  • Hands-on data wrangling and ETL experience using Python R and/or SQL; familiarity with federal government categorical datasets and data warehouses.
  • Proficiency applying statistical methods including multiple correspondence analysis (MCA) principal component analysis (PCA) and association rule mining.
  • Experience building dashboards visualizations and geospatial analytical products using tools such as Tableau Qlik Power BI ArcGIS matplotlib or seaborn.
  • Familiarity with machine learning and AI libraries such as TensorFlow PyTorch Keras h2o mlr mpi4py or scikit-learn.
  • Experience working in secure government data environments and preparing executive-level analytical reports using tools such as RMarkdown or Jupyter Notebook.

Education:

  • Bachelors Degree required. Preferred fields: Computer Science Data Science Statistics Mathematics Operations Research or related discipline.
  • Masters Degree or PhD in a quantitative field preferred.

Certificates Licenses and Registrations:

  • Data science or machine learning certifications such as AWS Certified Machine Learning Google Professional ML Engineer or Databricks ML Associate preferred.
  • Tableau Qlik or ArcGIS certifications are a plus.

Communication Skills:

  • Excellent verbal and written skills; able to present technical findings and performance data to non-technical audiences including federal leadership.
  • Ability to write clear concise reports and briefings consistent with FOUO/LES handling requirements.

Clearance Requirements:

  • Active ICE clearance required; preference for candidates currently cleared or cleared within the last two years.
  • Ability to obtain and maintain required clearance level is a condition of employment.

Travel:

  • Minimal travel expected.
  • On-site in Washington D.C. Metropolitan area.

Environmental Requirements:

  • Mainly a routine office environment.
  • May be required to lift up to ten (10) pounds.
  • Flexible in working extended hours.

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties responsibilities and skills required. Unissant management reserves the right to modify add or remove duties and to assign other duties as addition where applicable and available reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

Please note: Candidate(s) will be required to go through pre-employment screening.

Unissant Inc. is a proud Equal Opportunity Employer (EOE; M/F/Disability/Vets).


Required Experience:

IC

Unissant Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise data acumen and technology know-how to achieve breakthrough results for our clients. Working collaboratively we advance missions and careers through a focus on honesty ...

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