Network Data Science Engineer

Berkeley Lab - California - Berkeley Lab’s Planning and Architectural Group is seeking a Network Data Science Engineer. In this role you will work in a collaborative, results-driven development environment to help guide the strategic growth decisions of the network and provide novel insight into what the network is doing. As a member of the ESnet’s Planning and Architecture Group you will consult and collaborate with ESnet users, peer ESnet organizations, and peer Research and Education (R&E) and Regional Optical Networks (RON), along with internal software development, network engineering and operations teams. You will develop analytical methods to help drive strategic decisions underlying the current and next-generation ESnet network. What You Will Do: Participate as a member of an interdisciplinary team in gathering requirements, designing, implementing, and testing software used to measure and analyze network services. Participate on project teams to successfully develop and complete project scopes, on time and within project budgets. Manage large data sets as they apply to complex mathematical systems and apply knowledge of data fusion and both algorithm and script development. Establish scalable, automated processes for large scale data extraction, model development, model validation and model implementation. Develop processes to guide strategic capacity planning. Explore different analytical models and methods to augment existing tools to better understand the behavior and health of the network. Additional Responsibilities as needed: Drive the implementation of an ESnet data sharing policy. Engage with researchers to investigate and publish interesting findings (within the data sharing policy). Engage with the R&E networking community to prototype and deploy common analytic solutions. Minimum Qualifications: Bachelor’s degree and 8 years of data mining and modeling, including analysis of large data sets, or an equivalent combination of education and experience. Demonstrated experience designing, developing, and testing software using one or more of the following: Python, Go, Java, or Javascript. Demonstrated experience with one or more the following: Google Cloud Platform, ELK stack, TICK stack, Kafka, Grafana. Experience with web APIs such as REST, GraphQL, gRPC. Experience with UX Design and Data Visualization. Solid grasp of mathematical statistics and data analysis fundamentals. Demonstrated understanding of network measurement using SNMP, IPFIX, or similar. Knowledge of Internet networking and protocols. Understanding of common data structures and algorithms. Desired Qualifications: 12 years of data science experience. Experience with advanced technical writing and scientific journal research or publications. Experience with the defense of scientific techniques and approaches to networking, data science, and related fields using peer review and rigorous scientific validation. Experience in implementing science concepts in real world scenarios. For full consideration, please apply by February 9, 2021. Notes: This is a full-time career appointment, exempt (monthly paid) from overtime pay. This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate. This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. This position will be remote initially, but limited to individuals residing in the United States tentatively through 2021 due to COVID-19. Once the Bay Area shelter-in-place restrictions are lifted, work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click to view the poster and supplement: "Equal Employment Opportunity is the Law." Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.... - Permanent - Full-time

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