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Staff Research Engineer – Decision Science Operations
| Company | Tenable |
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| Location | Columbia, MD, USA |
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| Salary | $129000 – $171666.67 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- BS with 8+ years of experience or Masters degree or higher with equivalent practical experience in one or more of the following areas: Operations Research, Mathematics, Statistics, Data Science, or a related discipline
- Strong analytical skills and experience with data analytics platforms and business intelligence systems such as Tableau
- Experience with Python/iPython/Jupyter Notebooks
- Ability to gather business insights and identification of trends from data, aggregated from various sources
- Strong communication skills with the ability to manage across highly distributed teams
- Ability to operate effectively in an environment using agile methodologies
- Ability to get in the weeds with technical implementation requirements for vendor integrations and enhancements
- Ability to work on multiple efforts simultaneously, prioritize conflicting demands, and set expectations accordingly with internal stakeholders
- Strong organizational skills and attention to detail
- Experience with Structured Analytic Techniques and statistical concepts is a plus
Responsibilities
- Partner with Director of Research Security Response to establish and execute data-driven processes for development prioritization
- Work with research and product teams to establish and execute strategy for delivering increased contextual intelligence for identified vulnerabilities
- Work with product operations team to develop and execute strategy around in-product measurement of research contributions across the portfolio
- Work with PMs, Engineering, and business stakeholders to facilitate messaging strategies
- Synthesize and communicate insights on emergent threats and vulnerabilities and add to appropriate team backlog
- Provide timely insights and analytical support to a broad set of internal stakeholders to support effective business and product decision-making
- Experiment with new technologies in order to gather insights, test hypotheses, and establish a standard of learning and feedback to drive product decisions
- Identify opportunities to improve customer in-product experience based upon metrics and insights
Preferred Qualifications
- Experience with Structured Analytic Techniques and statistical concepts is a plus
