Amivero is looking to solve the problem of modernizing mission-critical and public service government IT systems by leveraging modern, agile methods to design and develop equitable, accessible, and innovative data and software services.
Requirements
- Experience using a variety of mathematical, statistical, data mining, and data analysis methods/tools
- Working knowledge of general machine learning algorithms and NLP, Graph Theory, and Network Analysis
- Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
- Experience with statistical data analysis, experimental design, and hypotheses validation
- Experience with database querying like SQL
- Experience in productization of machine learning algorithms and the ability to deliver data science components that are part of successful deliverables
- Scaled Agile Framework (SAFe) experience
Responsibilities
- Perform knowledge elicitation from customer subject matter experts and convert that to derived algorithms
- Analyze large data sets to identify actionable insights with mathematical statistical rigor
- Rigorously critique and correct intermediate results to improve the algorithmic outcomes
- Design and deploy deep learning algorithms and predictive models
- Develop custom data models and algorithms to apply to data sets
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Develop processes and tools to monitor and analyze model performance and data accuracy
Other
- US Citizenship Required to obtain Public Trust
- Active DHS or CBP Public Trust clearance preferred
- 3+ years of relevant experience
- Must be able to commute to Reston, VA 1-2x per week
- BA/BS in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field
