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Analytica

Public-sector data-driven consulting and technology services

Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBethesda, MD, USAIn-person

About the Job

Requirements

  • A bachelor's degree is required; a master's degree or Ph.D. is preferred in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.
  • At least 5 years of experience developing statistical and artificial intelligence and machine learning models using modern tools and best practices.
  • At least 3 years of experience building predictive models, including regression, classification, and natural language processing applications.
  • At least 3 years of hands-on experience with Python, including libraries such as Pandas, scikit-learn, PyTorch, or TensorFlow.
  • At least 3 years of experience working in cloud environments; Azure is preferred.
  • At least 2 years of experience with SQL for data querying and manipulation.
  • Strong experience with data visualization tools such as Power BI or equivalent.
  • Demonstrated ability to apply semantic analysis or coding techniques within machine learning workflows.
  • Experience using Git-based version control for collaborative development.
  • Ability to contribute to sprint planning, iterative development, and continuous improvement within Agile teams.
  • Ability to collaborate across technical and business stakeholders to deliver data-driven solutions.

Responsibilities

  • Apply semantic coding and analysis techniques to uncover patterns and thematic insights from structured and unstructured data.
  • Translate complex analytical findings into clear, actionable insights using data storytelling and visualization techniques.
  • Develop interpretable and explainable analytics outputs to support decision-making.
  • Design, implement, and maintain artificial intelligence and machine learning models, including product similarity models and supervised and unsupervised learning approaches.
  • Develop models for anomaly detection, classification, regression, and pattern recognition.
  • Evaluate models using performance metrics such as precision, recall, F1-score, and AUC to ensure accuracy, reliability, and fairness.
  • Improve model performance through testing, validation, and tuning.
  • Explore emerging technologies and methodologies to solve analytical challenges.
  • Use development tools and frameworks such as GitHub Copilot and continuous integration and continuous delivery pipelines to streamline workflows and improve delivery efficiency.
  • Optimize data science workflows for scalability and performance in Azure cloud environments.

Desired Qualifications

  • A master's degree or Ph.D. in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.
  • Experience with Azure cloud environments.

About the Company

Analytica

Public-sector data-driven consulting and technology services

Analytica provides data-driven consulting and technology services to U.S. public-sector agencies in health, civilian, and national security. Its offerings combine data analytics, systems integration, and technology implementation to help government entities modernize operations and improve decision-making. The company differentiates itself through a strong track record with public-sector modernization recognized by organizations like NYU’s Governance Lab, its SBA 8(a) and HUBZone certifications, and being named among Inc.’s fastest-growing U.S. companies for three consecutive years. Analytica’s goal is to enable government clients to use data and technology to deliver better services, increase efficiency, and strengthen national security.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Washington DC, District of Columbia
Founded
2007

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