Data Scientist
Updated on 12/6/2023

51-200 employees

Commercial data platform for defense technology analysis
Company Overview
Govini stands as a leader in the Defense Technology sector, providing unparalleled visibility into the National Security landscape through its commercial data platform, The company's unique approach to modernizing the Defense Acquisition Process, using AI and machine learning, offers strategic advantages to the U.S. federal government, including the Department of Defense. Additionally, Govini's commitment to professional development, as evidenced by their robust Certification Program, fosters a culture of continuous learning and data-driven efficiency, making it an attractive workplace for professionals across all experience levels.
AI & Machine Learning
Data & Analytics

Company Stage


Total Funding





Arlington, Virginia

Growth & Insights

6 month growth


1 year growth


2 year growth

Pittsburgh, PA, USA
Experience Level
Desired Skills
Apache Spark
Data Analysis
Data Science
Data Structures & Algorithms
Data & Analytics
  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master’s or PhD preferred
  • Minimum 3 years of hands-on data science experience
  • Minimum 3 years deriving key insights and KPIs for external and internal customers
  • Regular development experience in Python
  • Prior hands-on experience working with data-driven analytics
  • Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
  • Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks)
  • Ability to work independently with little supervision
  • Strong communication and interpersonal skills
  • A burning desire to work in a challenging fast-paced environment
  • Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms
  • Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices
  • Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases
  • Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Govini SaaS platform
  • Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code
  • Partner with internal Govini business analysts and external client teams to seek out the best solutions regarding data-driven problem solving
  • Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers
Desired Qualifications
  • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Experience working on agile/scrum teams
  • Experience building datasets from common database tools using flavors of SQL
  • Expertise with automation and streaming data
  • Experience with major NLP frameworks (spaCy, fasttext, BERT)
  • Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS
  • Familiarity with Git source control management
  • Experience working in a product organization
  • Experience analyzing financial, supply chain/logistics, or intellectual property data