Analytics Research Scientist

STR develops advanced analytics to find connections, patterns, and threats in both structured and unstructured data. Our customers are overwhelmed with data and need effective methods to index and search for the information they need in extremely large datasets. Recent advances in graph analytics offer a compelling approach to addressing this need. However, questions remain. How can AI be used to align entities from different data sources? What algorithms can be used to efficiently search very large graphs? Are there novel machine learning techniques for generating new insights from the data? This is a unique opportunity to take a leading role in research and development of graph analytics.

The Role:
Work as part of a tightly-knit team to lead the design, development, implementation, and demonstration of advanced graph analytics.

• Lead teams to analyze structured and unstructured datasets to identify patterns and design algorithms
• Prototype and test graph analytics and algorithms
• Work with the team to evaluate algorithms on large-scale data as part of an integrated team of researchers and software engineers
• Work with the government and other contractors to define relevant metrics, test protocols, and delivery schedules
• Present analytics, methods, and test results to our customers and other stakeholders
• Mentor junior staff
• Publish results in academic journals and conferences

Who You Are:

• MS in Mathematics, Computer Science, Electrical Engineering or related discipline, or BS with research experience
• Background in at least one of: machine learning on large-scale data, graph analytics, statistics, algorithm development, or related fields
• Demonstrated skill in communicating technical content to diverse audiences
• Experience with at least one modern language such as Python, C/C++, or Java
• Ability to obtain a Security Clearance

Even Better:

• Active Security Clearance
• Ph.D. in one of the disciplines above
• Experience developing and deploying graph analytics on structured and unstructured data
• Experience with knowledge representation (e.g., property graphs, ontologies, semantic web), text analytics, information retrieval, pattern recognition, anomaly detection, or graph/entity alignment
• Experience with graph database technologies such as RDF, SPARQL, Neo4J, Dgraph, JanusGraph, Gremlin, Tinkerpop

All STR employees may be subject to COVID-19 vaccination requirement in response to Executive Order 14042 and accompanying Task Force Guidance, unless a medical or religious accommodation is formally approved by STR.

STR is a rapidly growing technology company with locations north of Boston, MA, Arlington, VA and near Dayton, OH. We specialize in advanced research and development for defense, intelligence, and national security, trying to understand how to protect our society: from stopping malicious botnet attacks, to understanding cyber vulnerabilities, providing next generation sensors, radar, sonar, communications, and electronic warfare to developing artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, but you go home at night knowing that you pushed the forefront of technology and made the world a little safer. We recognize that the world is changing, that it is becoming more connected than ever before, making things change faster than before, and reshaping society in the process. We all want to understand this changing world and leave it better for our work.

STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.

STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.