- 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
- U.S. Citizenship is required
- 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 of experience 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
- 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
Skills Required
- Bachelor's degree in a related field, Master's or PhD preferred
- Minimum 3 years of hands-on data science experience
- Regular development experience in Python
- Experience using machine learning algorithms
- Strong communication and interpersonal skills
Govini Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Govini and has not been reviewed or approved by Govini.
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Healthcare Strength — Healthcare coverage is positioned as strong, with medical, dental, and vision insurance described as covered “in full” for employees and offered with competitive options for families.
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Retirement Support — Retirement support appears competitive, with a 401(k) match listed up to 4% and immediate vesting, which strengthens the long-term value of the package.
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Leave & Time Off Breadth — Time-off benefits are broad on paper, including unlimited vacation and sick days, which can increase flexibility if team norms allow consistent usage.
Govini Insights
What We Do
Govini builds software to accelerate the Defense Acquisition Process. Ark, Govini’s flagship product, is a suite of AI-enabled applications, powered by integrated government and commercial data, that solves problems across the entire spectrum of Defense Acquisition, including Supply Chain, Science & Technology, Production, Sustainment, and Modernization. With Ark, the Acquisition community eliminates slow, manual processes and gains the ability to rapidly imagine, produce, and field critical warfighting capabilities. Ark transforms Defense Acquisition into a strategic advantage for the United States.







