missions. Headquartered in Chantilly, VA and with 16 offices around the world, Arcfield employs approximately 1,200 engineers, analysts, IT specialists, and other professionals who put our customers’ missions first, helping them solve their most complex challenges through innovations in modeling, simulation and analysis, digital transformation and C5ISR.
Visit for more details. Responsibilities The Data Scientist will support the Sponsor's organization responsible for championing governance and quality. The organization is focused on improving efficiency and capabilities to build, deliver, and sustain IT Network solutions. The selected candidate will be responsible for developing the
means for measuring and visually reporting real-time, or near real-time, data for quality assurance Service Level Agreements (SLA) and Service Level Objectives (SLO).
This will consist of working with multiple stakeholders in various groups to define, develop, and institutionalize strategic processes across multi-fabric information environments. Responsibilities include, but are not limited to: Develops means for measuring and visually reporting real-time, or near real time, data for quality assurance SLA/SLO compliances. Work with tools such as Splunk, to gather network operations information and visualize that data to determine network health as well as system performance. Work closely
with Process Analysts to ensure processes are implemented in a measurable means and purposeful ways to further optimize processes with use of our workflow, automation or scripting tools.
Identify opportunities to strengthen, streamline, or standardize the organization. Leads workforce engagement and collaboration efforts. Consolidate inputs from various partners and identify challenges, inconsistencies, and gaps. Convey complex technical topics to individuals and groups with varying level of technical expertise. Developing and presenting complex technical documents, procedures, reports, and briefings. Identifying gaps in capabilities and strategic needs in relation to the strategic direction.
Identifying opportunities for strengthening, streamlining, and standardizing process. Qualifications Must possess and be able to maintain an active TS/SCI with Poly. Experience working with tools, such as Splunk, to pull information out and make it easily digestible. Ability to review feedback to identify pain points and propose solutions. Deep understanding in IT systems. Demonstrated experience collaborating across enterprise organizations at all levels. Ability to translate requirements into end-to-end designs that involve multiple interfaces Able to translate complex technical terminology, concepts and issues in terms understandable to technical and non-technical management and resources staff BS 12-15, MS 10-13, Ph D 8-10 or equivalent experience in Computer Science, Information Systems, Engineering, Business, or a scientific or technical discipline EEO Statement EEO We are required to compile the following information for statistical purposes in order to comply with certain federal regulations relating to Equal Employment Opportunity and Affirmative Action requirements.
The information you provide is strictly on a voluntary basis, and the content of the information will not affect your eligibility for employment.
Likewise, if you choose not to provide this information it will not affect your eligibility for employment in any way. For your reference: • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • White (not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • Black or African American (not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa.
• Native Hawaiian or Other Pacific Islander (not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Asian (not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • American Indian or Alaska Native (not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment.
• Two or More Races (not Hispanic or Latino) - A person who identifies with more than one of the following, as defined above: White; Black or African American; Native Hawaiian or Other Pacific Islander; Asian; or American Indian or Alaska Native. For more details: jobs-search. org/data-scientist_herndon-c449870/data-scientist-security-clearance-required-herndon_i1969873705
military and aerospace applications. Your Job Lead the engineering development of unique laser designs through modeling fiber laser performance, design analysis, component specification, and hardware assembly, integration, and test Coordinate and support the build, alignment, and performance characterization of fiber lasers including multi-stage amplifiers, phase & amplitude modulation implementation, spectral and coherent beam combining Coordinate and perform formal acceptance and qualification testing Participate in customer interactions including formal technical reviews Expertise and experience required: MS or Ph D in Physics or Optical Engineering w/ a minimum of 5 years of direct hands-on
fiber laser experience including designing, building, characterizing laser systems Knowledge of the laser theory and industry best practices associated with fiber laser systems including continuous wave lasers, pulsed, high peak power fiber, advanced fiber architectures, single-frequency injection locked lasers, low frequency noise lasers, electrical and thermal sub-systems.
Expertise in laser physics of fiber lasers and amplifiers, including ytterbium, erbium, and/or thulium gain materials. Familiarity with relevant nonlinear processes and impacts to laser performance. Examples include Stimulated Brillouin Scattering, Four-Wave Mixing, Stimulated Raman Scattering, and Transverse Modulational
Instability. Foundational understanding of fiber-optic components including types of fibers, pump lasers, couplers, modulators, isolators, mode-field adapters, polarization components, and others.
Knowledge of tools for modeling fiber laser performance such as Matlab, RP Power Fiber or equivalent software Ability to design and execute experiments validating laser system performance and correlate the results with the expected performance Strong communication and documentation skills for efficient multidisciplinary communication US citizenship required PI233352194For more details: jobs-search. org/architecture-construction_herndon-c449870/fiber-laser-scientist-herndon_i1966982032
to life sciences and drug discovery. Prototype and build deep learning algorithms for small molecule data and AI-assisted virtual screening workflows Collaborate with multiple AI infrastructure and research teams MS or Ph D Degree in a quantitative field such as Statistics, Physics, Computational Biology, Computer Science, Mathematics (or a related field) and within one year of graduation Expertise in deep learning and machine learning Strong experience with Python libraries for data science analysis (e.
g. Num Py, Pandas, Matplotlib) and deep learning (Py Torch or Tensor Flow) Expertise in cheminformatics, virtual screening, and processing of biochemical data You should display strong
communication skills, be organized and self-motivated, and play well with others (be a phenomenal teammate) Experience with open source development Background with C/C++, CUDA, docker Experience with cheminformatics and related tools, such as RDKit, KNIME, Auto Dock Vina, and Maestro Experience with diffusion models, equivariant models, and/or transformer-based NLP models Relevant publication history and/or conference attendance Trillion is an equal opportunity employer.
Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local law.
