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Data Scientist

Unissant


Job Location:

Ashburn, IL - USA

Yearly Salary: USD 99000 - 164000
Posted: 4 September 2026 (21 hours ago)
Application Deadline: 2 December 2026
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 and support our client in Ashburn VA. The ideal candidate will bring experience applying computer vision image analysis statistical analysis machine learning and data modeling techniques to solve complex mission and business challenges. This role is well suited for a hands-on analytical professional who can work with image biometric transactional and related datasets; build and evaluate image-analysis and predictive models; and communicate insights that support informed decision-making in an Agile team environment.

Essential Duties and Responsibilities:

  • Perform hands-on data analysis to support the development of image-analysis models predictive models visual analytics and reporting solutions.
  • Extract clean transform label annotate and interpret image biometric transactional and related datasets within a defined problem space to support model development and analytical reporting.
  • Apply computer vision statistical and machine-learning techniques to design train evaluate fine-tune and deploy models that inform mission decisions.
  • Apply image-analysis techniques such as image classification object detection image segmentation image matching feature extraction face detection facial verification image-quality analysis or related computer-vision capabilities.
  • Explore and compare a variety of modeling tools methods and programming languages to identify high-performing analytical and image-analysis approaches.
  • Support exploratory data analysis feature development image-data preparation annotation training-set construction model evaluation and model-improvement activities.
  • Assess model performance including false positives false negatives model bias data-quality issues and operational limitations; recommend improvements as needed.
  • Work collaboratively within a large Agile development team.

Work Experience and Job Skills:

  • Two (2) or more years of experience in data science computer vision image analysis advanced analytics machine learning biometrics or related technical work is required.
  • Experience developing training fine-tuning evaluating or deploying machine-learning or deep-learning models for computer vision image analysis or related capabilities.
  • Experience with image classification object detection image segmentation image matching facial recognition facial verification image quality liveness detection or similar image-analysis techniques is strongly preferred.
  • Familiarity with biometric technologies biometric data identity verification facial recognition fingerprints iris recognition liveness detection image matching or image-quality assessment is strongly preferred.
  • Experience developing machine-learning models and applying advanced analytics techniques to solve complex mission or business problems.
  • Proficiency with programming languages such as Python R Scala or Java; Python experience with computer-vision or machine-learning libraries is strongly preferred.
  • Experience with AI/ML computer-vision or deep-learning frameworks and libraries such as PyTorch TensorFlow Keras OpenCV scikit-learn YOLO Detectron or equivalent platforms.
  • Strong SQL programming skills and experience constructing queries to extract and prepare data for exploratory analysis image-data processing and model development.
  • Experience with statistical software and analytical tools such as SAS SPSS Modeler R WEKA Jupyter or equivalent platforms.
  • Experience with pattern recognition automated classification image categorization feature extraction similarity matching and data categorization techniques.
  • Experience with entity resolution methods including record linkage named-entity matching deduplication disambiguation identity matching or biometric matching.
  • Familiarity with supervised and unsupervised machine-learning techniques and methods.
  • Experience performing data mining data analysis image-data preparation labeling or annotation and training-set construction.
  • Familiarity with model-performance evaluation methods such as precision recall F1 score ROC-AUC confusion matrices mean average precision false-match rate false-non-match rate or equivalent measures.
  • Strong analytical thinking problem-solving skills and attention to detail.
  • Ability to communicate findings effectively to both technical and non-technical audiences.

Education:

  • Bachelors Degree in Mathematics Statistics Computer Science Engineering Data Science Artificial Intelligence Computer Vision or another related technical field is required.
  • Equivalent practical experience may be considered based on client standards.
  • Advanced degree in a relevant analytical or technical discipline is preferred.

Certificates Licenses and Registrations:

  • Relevant certifications in analytics machine learning computer vision cloud platforms data science or related technologies are a plus.
  • Additional technical certifications may be considered based on program needs.

Communication Skills:

  • Excellent verbal and written communication skills including the ability to explain complex analytical and image-analysis findings clearly and effectively.
  • Strong collaboration skills and the ability to work across technical and business stakeholders.

Clearance Requirements:

  • Ability to obtain and maintain a Public Trust position and favorable suitability determination based on a CBP background investigation is required.
  • U.S. citizenship is required due to client and suitability requirements.
  • Prior DHS CBP federal law-enforcement biometric identity-management or similarly regulated-environment experience is preferred.

Travel:

This is a hybrid position based in Ashburn VA with onsite support expected one to two days per week and additional onsite presence as required by mission needs.

Environmental Requirements:

  • Mainly a routine office environment.

Required Experience:

IC


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Mission-focused, data-driven. Learn why agencies turn to Unissant to advance health and national security priorities.

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